ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Create strong collaboration with IT, People, and Global Services partners to gather business requirements and provide solutions to improve the business.
• Design and implement solutions empowering end-users to be self-reliant.
• Develop and build BI tools to help greater maximize the People team's business impact.
• Understand how HR data is built and used in a global company.
• What You'll Need to Succeed.
• Ability to bridge communications with both IT and HR audiences.
• Excellent analytical and problem-solving skills with strong attention to detail.
• Excellent communication skills and ability to influence peers and build strong relationships within HR and cross-functionally is required.
• 3+ years of experience with BI & analytics tools (SQL, Tableau, Metabase or similar technologies).
• 2+ years of solid project management.
• Fluency in English required.
• Strong sense of ownership and growth mindset.
• Thriving on learning new skills.
• Experience in ETL tools, data warehouse design, data modeling, and visualization.
• Be responsive to work within a deadline.
• Work professionally to understand business questions or the requests and be able to suggest proper BI solutions which is measurable and scalable.
• It's Great If You Have.
• Experience in coding with react,.net, javascript, and building webapps a plus.
• A global perspective and experience working with diverse cultures.
• Consultant experience.
• DBA experience.
• Familiar with scrum/agile methodology.
• HRIS experience (Workday).
• Web development experience.
• hongkong #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Translate internal briefs into analytical projects (to include refining the initial brief and asking the 'right questions', working through potential hypotheses and storyboarding the output).
• Use and analyse data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
• Proactively identify opportunities for growth within supply and the wider business.
• Drive new analytical initiatives and projects aimed at improving organisational efficiency and shaping Agoda supply.
• Identify, support, and lead projects aimed at scaling up the way the Supply organisation leverages on data, insights, and intelligence.
• Automate manual operational processes and present back on time savings gained through modernization of business operations.
• What you'll Need to Succeed:
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
• A good understanding of statistics, computer science, and data, and the ability to implement this understanding in complex business situations.
• Bachelor's degree in a quantitative discipline.
• Experience utilizing Python for Automation.
• Knowledge of Pandas and other associated analytical packages.
• An advanced level of SQL including parallel computation approaches (i.e. Spark).
• It's Great if you have:
• Tableau/other BI visualization experience.
• R Coding experience.
• Experience in being able to translate business objectives into analytical hypotheses.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #bengaluru #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok #thailand #greater sao paulo #chennai #paris #dallas #netherlands #kolkata #seatle #warsaw #tokyo data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance metabase analytics shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• What you'll Need to Succeed:
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you Have:
• Experience in digital marketing.
• Academic research experience.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Work with stakeholders across different departments in Agoda and our sister company Booking.com.
• Improve operational efficiencies and workflows for Strategic Partnerships team.
• Own of product related issues in Strategic Partnerships, analyze existing data, make recommendations and get buy-ins from Product Team for new product features and/or improvements.
• Be responsible for the quality and integrity of SLA's.
• Maintain an up-to-date knowledge base of technical processes, functions and requirements.
• What you'll Need to Succeed:
• Bachelor degrees in engineering, statistics, science or equivalent degree preferred.
• 1 or 2 years of experience is preferred.
• Strong analytical skills.
• Data driven and detail oriented.
• Good project management skills.
• Good command of English.
• E-commerce or travel industry experience is a plus.
• Able to work with a multi-cultural group of professionals.
• Fast learner with passion to learn about new exciting tools and technologies.
• A passion for finding solutions to hard problems at scale and solve them efficiently.
• It's Great if you have:
• Salesforce experience.
• Familiar with Tableau.
• Programming skills.
• STRA #ANLS #MRKT #3 #LI-TR2 #bangkok #thailand data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner chulalongkorn Mahidol chiang mai
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• What you'll Need to Succeed:
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity and analytical skills.
• It's Great if you Have:
• Experience in digital marketing.
• Academic research experience.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #singapore #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #hyderabad data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Use and analyse data from multiple large-scale data warehouses and understand data flows across the entire organisation.
• Identify, support, and lead projects aimed at scaling up the way the Supply organisation leverages on data, insights, and intelligence.
• Develop automated infrastructure supporting business intelligence at a global level as well as the analytics processes supporting them.
• Drive new analytical initiatives and projects aimed at improving organisational efficiency.
• What you'll Need to Succeed:
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
• Bachelor's degree in a quantitative discipline.
• Experience in big data cleaning and wrangling as well as simple analytical processing (SQL is a must).
• Experience with visualisation tools (e.g. Tableau, Grafana, etc.).
• A basic understanding of statistics, computer science, and data, and the ability to implement this understanding in complex business situations.
• It's Great if you have:
• Experience with complex analytics and statistical/machine learning techniques using R/Python/Spark.
• Experience with ETLs in Hadoop ecosystem.
• Master's degree in statistics, operations research, or data science.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #bengaluru #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok #thailand #greater sao paulo #chennai #paris #dallas #netherlands #kolkata #seatle #warsaw #tokyo data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization data modelling databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Add immediate value and support the organisation during an exciting and dynamic growth phase.
• Support the forecast process in conjunction with key stakeholders, and in collaboration with the rest of the FP&A team.
• Work with the Team Lead to manage a rolling monthly forecast model and provide timely insights into performance against budget/forecast.
• Prepare segments of reports to the Board, Shareholders and Advisers as required and directed from time to time.
• Co-develop incisive analysis and reporting to give insights to business performance and trends, including use of KPIs and OKRs.
• Undertake additional planning and budgeting activities as required.
• Enhance the understanding and key levers of the Agoda business.
• Support the delivery of annual budgets, quarterly guidance, and monthly and weekly forecasts as well as related financial planning & analysis.
• Provide financial analysis (FP&A) & commentary on month-end financials & KPIs.
• What You'll Need to Succeed:
• Minimum 4 years in accounting or related fields, 2 years in FP&A.
• Chartered Accountant qualified: ACA or CIMA, or equivalent.
• Hands on experience of using EPM/BPM systems (planning tools).
• Exceptional Excel and financial modelling skills.
• Ability to take ownership, to work independently and to meet tight deadlines with a logical, methodical approach to prioritising tasks and responsibilities.
• Demonstrable success at developing quality insights for non-finance management teams, ideally gained in an e-commerce company.
• Commercially aware, able to think both analytically and strategically, to think logically about underlying business issues.
• Pro-active in resolving queries and problems and highlighting future potential areas of risk.
• A willingness to get involved in the business to understand the story behind the numbers.
• Digital, ecommerce, travel backgrounds preferable.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #bengaluru #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok #thailand #greater sao paulo #chennai #paris #dallas #netherlands #kolkata #seatle #warsaw #tokyo data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance metabase analytics shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Deliver reports and impactful insights to the operational Budgeting and Workforce planning.
• Partnering with P&A and People team stakeholders.
• Become familiar with processes and technology in support of Analytics products.
• Bachelor's degree required.
• At least 2-3 years of experience as data /reporting analyst with SQL querying proficiency.
• High level of discretion, confidentiality and ethics.
• Ability to work well with employees in a highly multi-cultural environment.
• Strong attention to detail and accuracy.
• Excellent communication and presentation skills.
• Be self-driven with strong ability to analyze and resolve complex problems.
• Experience with Tableau visualization.
• Experience with Vena software.
• Workforce planning and Budgeting experience.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #bengaluru #hochiminh #jakarta #manila #hongkong #beijing #bangkok #thailand #chennai #paris #dallas #netherlands #kolkata #seatle #warsaw #tokyo data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance metabase analytics shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Translate internal briefs into analytical projects (to include refining the initial brief and asking the 'right questions', working through potential hypotheses and storyboarding the output).
• Use and analyse data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
• Proactively identify opportunities for growth within supply and the wider business.
• Drive new analytical initiatives and projects aimed at improving organisational efficiency and shaping Agoda supply.
• Identify, support, and lead projects aimed at scaling up the way the Supply organisation leverages on data, insights, and intelligence.
• What you'll Need to Succeed:
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
• A good understanding of statistics, computer science, and data, and the ability to implement this understanding in complex business situations.
• Bachelor's degree in a quantitative discipline.
• It's Great if you have:
• Experience with complex analytics and statistical/machine learning techniques using R/Python/Spark.
• Experience in being able to translate business objectives into analytical hypotheses.
• Master's degree in statistics, operations research, or data science.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Performance tracking and modeling: Analyze data generated by supply and supply teams, develop models we can use for performance tracking and optimization, draw recommendations on your analysis.
• Support and participation in projects: Provide input on initiatives to reach business targets of the strategic projects you will be working on, run and then assess your proposed actions in collaboration with the relevant teams.
• Building tools: Create and deliver dashboards, automated reports, calculators and da ...
• What you'll need to succeed:
• Minimum 2 years of experience working in business analysis / data analytics / business intelligence/ consulting or financial modelling roles in e-commerce, tech, consulting or financial services companies.
• Bachelor's Degree or higher from a top university in a business analytics, engineering, statistics, quantitative, data or finance subject (e.g., BI, science, math or financial analysis).
• Ability to communicate fluently in English.
• Familiarity with SQL, Tableau, advanced Excel skills, which you were using on real work projects before.
• Proven track record in using data to measure performance, build reports and tools and make decisions.
• Intellectual curiosity, ability to learn fast.
• Ability to work under pressure in a fast-paced/rapidly changing environment.
• It's Great if you have:
• Experience with complex analytics and statistical/machine learning techniques using R/Python/Spark.
• Experience building automated analytical processes and functionality.
• Master's degree in statistics, operations research, or data science.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #singapore #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #hyderabad data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Understand Content goals and KPIs and be able to align reports and insights based on them. Identify and investigate trends, anomalies and opportunities to improve Agoda's Content strategy.
• Identify content opportunities that drive customer value, bookings and conversion.
• Help build business cases around the opportunity and get buy-in from stakeholders.
• Ensure appropriate data/tools/dashboards to measure execution and enable deeper analysis.
• Track execution and report up in regular updates.
• Work with product, data/BI team and IT to create data resources and build appropriate reporting.
• Work with Content team leads to understand their business needs and identify opportunities in terms of team actions prioritization and focus.
• Use multiple data sources to report Content projects insights and impact; support Content tests and experiments.
• Encourage and train the Content team in best practice use of Agoda data, analysis techniques and interpretation.
• Coordinate with other Cross Functional departments like Analytics, Partner Services, and Product Owners.
• Use Web-Analytics for Research and Analysis.
• Bachelor degree or higher.
• 2+ years of relevant experience.
• Experience / knowledge in statistics, SQL, Python/R, Tableau and advanced Excel - required.
• Ability to demonstrate data manipulation using data warehouse and create meaningful insight and visualization.
• Experience / knowledge in Vertica and / or Impala - advantage.
• Experience in generating data and / or preparing experiments for product development - advantage.
• Professional characteristics:
• Attentive to detail and committed to data integrity.
• Keen and curious nature; able and willing to share your opinion.
• Organized; able to manage multiple, competing priorities and deliver results under tight deadlines.
• Able to communicate effectively; fluent in English - both spoken and written.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #kualalumpur #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• What you'll Need to Succeed:
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you Have:
• Experience in digital marketing.
• Academic research experience.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• What you'll Need to Succeed:
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you Have:
• Experience in digital marketing.
• Academic research experience.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Work with multiple petabyte-level datasets and explore the possibilities of BI and analytics.
• Get a better understanding of complex data structures and advanced analytics.
• Gain exposure to business stakeholders and understand how analytics can inform and transform the business.
• Build cool stuff.
• What you'll Need to Succeed:
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
• Bachelor's degree in Quantitative (i.e. Statistics, Mathematics, Engineering, or Economics).
• Experience in big data cleaning and wrangling as well as simple analytical processing (SQL is a plus).
• It's Great if you have:
• Experience with complex analytics and statistical/machine learning techniques using R/Python.
• students #LI-VV1.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Translate internal briefs into analytical projects (to include refining the initial brief and asking the 'right questions', working through potential hypotheses and storyboarding the output).
• Use and analyse data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
• Proactively identify opportunities for growth within supply and the wider business.
• Drive new analytical initiatives and projects aimed at improving organisational efficiency and shaping Agoda supply.
• Identify, support, and lead projects aimed at scaling up the way the Supply organisation leverages on data, insights, and intelligence.
• What you'll Need to Succeed:
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
• A good understanding of statistics, computer science, and data, and the ability to implement this understanding in complex business situations.
• Bachelor's degree in a quantitative discipline.
• It's Great if you have:
• Experience with complex analytics and statistical/machine learning techniques using R/Python/Spark.
• Experience in being able to translate business objectives into analytical hypotheses.
• Master's degree in statistics, operations research, or data science.
• students #LI-VV1.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to identify opportunities for business improvements and support your recommendations.
• Own end-to-end project or roll out new experiments to validate in-market impact of an initiative within Partner Development.
• Build dashboards, identify new and track key metrics to closely monitor team's performance and identify quick and long term opportunities for improvements.
• Work closely with cross-functional teams of analysts, regional team leads, product managers and business owners to drive changes based on opportunities identified.
• Support global Partner Development related initiatives, including experimentation infrastructure-building and methodology standardization.
• What you'll need to succeed.
• Bachelor's degree in science, computer science, statistics, economics, mathematics, or similar quantitative discipline.
• 4-6 years experience working in a business analysis, data analysis, reporting or business strategy role.
• Excellent problem-solving skills including the ability to analyze and resolve complex problems using data.
• Team player with strong interpersonal, relationship-building, and stakeholder management skills.
• Coding skills for analytics and data manipulation (SQL, R, Python, Pandas, Scala).
• Data visualization tool experience such as with Tableau or your weapon of choice.
• Ability to work under pressure in a fast-paced and rapidly changing environment.
• Excellent communication skills (both verbal and written in English), with proven ability to convey complex messages clearly and with conviction.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #singapore #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #hyderabad data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Work with multiple petabyte-level datasets and explore the possibilities of BI and analytics.
• Get a better understanding of complex data structures and advanced analytics.
• Gain exposure to business stakeholders and understand how analytics can inform and transform the business.
• Build cool stuff.
• What you'll Need to Succeed:
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
• Bachelor's degree in Quantitative (i.e. Statistics, Mathematics, Engineering, or Economics).
• Experience in big data cleaning and wrangling as well as simple analytical processing (SQL is a plus).
• It's Great if you have:
• Experience with complex analytics and statistical/machine learning techniques using R/Python.
• students #LI-VV1.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• What you'll Need to Succeed:
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you Have:
• Experience in digital marketing.
• Academic research experience.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• What you'll Need to Succeed:
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 1-3 years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you Have:
• Experience in digital marketing.
• Academic research experience.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Bachelor's degree; MBA or other advanced technical degree preferred.
• 4+ years experience in management consulting, investment banking, or strategy/business operations for a fast-growing globally operating tech company.
• Strong analytical abilities and experience working with large datasets.
• Strategic thinking and planning, hands-on and full ownership mentality.
• Excellent skills in presenting and analyzing data and creating actionable reports as this role requires frequent presentation to senior stakeholders across the company.
• Experience in and a passion for projects involving big data and statistical models.
• Excellent interpersonal skills and demonstrated ability to report and persuade different levels, including senior management.
• It's great if you have:
• Experience in experimental design and analysis is a plus.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Take ownership of analytical projects end to end from extracting and exploring data, generating hypothesis, building a structured analysis, and rigorously evaluating methods and results.
• Provide analytical and valuable insights for decision-making support for key projects and management.
• Work closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and to ...
• Communicate findings and propose actionable recommendations to address the problems.
• What you'll need to succeed:
• Bachelor Degree in Computer Science/Statistics/Math or Engineering or Economics and Finance.
• 5+ years in Data Analyst position or otherwise in projects involving big data.
• People management and strong commercial acumen.
• Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel.
• Must be data savvy and love crunching numbers.
• Strong analytical and statistical analysis skills in order to extract insights and recommendations.
• Fluent in English with strong communication skills (both written and verbal).
• It's great if you have:
• Experience in R studio, data modeling, hypothesis testing is a plus.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Take ownership of analytical projects end to end from extracting and exploring data, generating hypothesis, building a structured analysis, and rigorously evaluating methods and results.
• Provide analytical and valuable insights for decision-making support for key projects and management.
• Work closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and to ...
• Communicate findings and propose actionable recommendations to address the problems.
• What you'll need to succeed:
• Bachelor Degree in Computer Science/Statistics/Math or Engineering or Economics and Finance.
• 9+ years in Data Analyst position or otherwise in projects involving big data.
• People management and strong commercial acumen.
• Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel.
• Must be data savvy and love crunching numbers.
• Strong analytical and statistical analysis skills in order to extract insights and recommendations.
• Fluent in English with strong communication skills (both written and verbal).
• It's great if you have:
• Experience in R studio, data modeling, hypothesis testing is a plus.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok #datarepresentation #dataanalysis #SQL #dataanalytics #python #datamining #datascience #r (programming language) #tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Take ownership of analytical projects end to end from extracting and exploring data, generating hypothesis, building a structured analysis, and rigorously evaluating methods and results.
• Provide analytical and valuable insights for decision-making support for key projects and management.
• Work closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and to ...
• Communicate findings and propose actionable recommendations to address the problems.
• What you'll need to succeed:
• Bachelor Degree in Computer Science/Statistics/Math or Engineering or Economics and Finance.
• 5+ years in Data Analyst position or otherwise in projects involving big data.
• People management and strong commercial acumen.
• Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel.
• Must be data savvy and love crunching numbers.
• Strong analytical and statistical analysis skills in order to extract insights and recommendations.
• Fluent in English with strong communication skills (both written and verbal).
• It's great if you have:
• Experience in R studio, data modeling, hypothesis testing is a plus.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Bachelor's degree; MBA or other advanced technical degree preferred.
• 4+ years experience in management consulting, investment banking, or strategy/business operations for a fast-growing globally operating tech company.
• Strong analytical abilities and experience working with large datasets.
• Strategic thinking and planning, hands-on and full ownership mentality.
• Excellent skills in presenting and analyzing data and creating actionable reports as this role requires frequent presentation to senior stakeholders across the company.
• Experience in and a passion for projects involving big data and statistical models.
• Excellent interpersonal skills and demonstrated ability to report and persuade different levels, including senior management.
• It's great if you have:
• Experience in experimental design and analysis is a plus.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #kualalumpur #mumbai #newdelhi #delhi #bangalore #hcmc #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to identify opportunities for business improvements and support your recommendations.
• Own end-to-end project or roll out new experiments to validate in-market impact of an initiative within Partner Development.
• Build dashboards, identify new and track key metrics to closely monitor team's performance and identify quick and long term opportunities for improvements.
• Work closely with cross-functional teams of analysts, regional team leads, product managers and business owners to drive changes based on opportunities identified.
• Support global Partner Development related initiatives, including experimentation infrastructure-building and methodology standardization.
• What you'll need to succeed.
• Bachelor's degree in science, computer science, statistics, economics, mathematics, or similar quantitative discipline.
• 4-8 years experience working in a business analysis, data analysis, reporting or business strategy role.
• Excellent problem-solving skills including the ability to analyze and resolve complex problems using data.
• Team player with strong interpersonal, relationship-building, and stakeholder management skills.
• Coding skills for analytics and data manipulation (SQL, R, Python, Pandas, Scala).
• Data visualization tool experience such as with Tableau or your weapon of choice.
• Ability to work under pressure in a fast-paced and rapidly changing environment.
• Excellent communication skills (both verbal and written in English), with proven ability to convey complex messages clearly and with conviction.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #singapore #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #hyderabad data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Take ownership of analytical projects end to end from extracting and exploring data, generating hypothesis, building a structured analysis, and rigorously evaluating methods and results.
• Provide analytical and valuable insights for decision-making support for key projects and management.
• Work closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and to ...
• Communicate findings and propose actionable recommendations to address the problems.
• What you'll need to succeed:
• Bachelor Degree in Computer Science/Statistics/Math or Engineering or Economics and Finance.
• 5+ years in Data Analyst position or otherwise in projects involving big data.
• People management and strong commercial acumen.
• Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel.
• Must be data savvy and love crunching numbers.
• Strong analytical and statistical analysis skills in order to extract insights and recommendations.
• Fluent in English with strong communication skills (both written and verbal).
• It's great if you have:
• Experience in R studio, data modeling, hypothesis testing is a plus.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Take ownership of analytical projects end to end from extracting and exploring data, generating hypothesis, building a structured analysis, and rigorously evaluating methods and results.
• Provide analytical and valuable insights for decision-making support for key projects and management.
• Work closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and to ...
• Communicate findings and propose actionable recommendations to address the problems.
• What you'll need to succeed:
• Bachelor Degree in Computer Science/Statistics/Math or Engineering or Economics and Finance.
• 5+ years in Data Analyst position or otherwise in projects involving big data.
• People management and strong commercial acumen.
• Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel.
• Must be data savvy and love crunching numbers.
• Strong analytical and statistical analysis skills in order to extract insights and recommendations.
• Fluent in English with strong communication skills (both written and verbal).
• It's great if you have:
• Experience in R studio, data modeling, hypothesis testing is a plus.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #kualalumpur #mumbai #newdelhi #delhi #bangalore #hcmc #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Take ownership of analytical projects end to end from extracting and exploring data, generating hypothesis, building a structured analysis, and rigorously evaluating methods and results.
• Provide analytical and valuable insights for decision-making support for key projects and management.
• Work closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and to ...
• Communicate findings and propose actionable recommendations to address the problems.
• What you'll need to succeed:
• Bachelor Degree in Computer Science/Statistics/Math or Engineering or Economics and Finance.
• 5+ years in Data Analyst position or otherwise in projects involving big data.
• People management and strong commercial acumen.
• Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel.
• Must be data savvy and love crunching numbers.
• Strong analytical and statistical analysis skills in order to extract insights and recommendations.
• Fluent in English with strong communication skills (both written and verbal).
• It's great if you have:
• Experience in R studio, data modeling, hypothesis testing is a plus.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.