เงื่อนไขการค้นหา

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Business Statistics / Analysis, Project Management, Analytical Thinking, High Responsibilities, Good Communication Skills, Multitasking, Thai, English

ประเภทงาน:

งานประจำ

เงินเดือน:

฿80,000 - ฿100,000, สามารถต่อรองได้

• The Position.
• The Business analyst contributes a vital role in the delivery of complex multi-stakeholder enterprise blockchain projects. The person needs to be confident in communicating to our clients and our project team with good workflow, project cost, cost-saving, and revenue generation models. The right person needs to enjoy a challenge, be a team player and have strong creative and communication skills.
• Lead and manage project assigned to develop a technical solution.
• Coordinate with clients to gather requirements and present solution.
• Analyze client requirements to create high-level solutions that fit with their needs.
• Coordinate with related functions within the company and ensure operations run smoothly.
• Manage ad-hoc tasks and collaborate with other teams to resolve issues at hand.
• Track progress and customize the report with an insightful recommendation to the team lead.
• Support and assist commercial team and development team as requested.
• Minimum one year of work experience (experience as a Business Analyst or Project Management is an advantage).
• Bachelor Degree in Business Administration, Economics, Computer engineering, Data Science or any related fields.
• Excellent communication, both verbal and written, in Thai and English.
• Technical skill: Microsoft Excel, Microsoft PowerPoint, Microsoft Word.
• Ability to multitask and prioritize work with attention to detail.
• Ability to work independently and with others.
• Be able to think logically.
• Clear verbal and written communication skills.
• Thai Nationality.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Analytical Thinking, Teamwork, Positive Thinker, Thai

ประเภทงาน:

งานประจำ

เงินเดือน:

สูงสุด ฿80,000, สามารถต่อรองได้

• วุฒิการศึกษา:ปริญญาตรีขึ้นไป.
• สาขาวิชา:สาขาเทคโนโลยีสารสนเทศ, วิทยาการคอมฯ และสาขาอื่น ๆ ที่เกี่ยวข้อง.
• เพศ:ทุกเพศ.
• อายุ:22 ปีขึ้นไป.
• ประสบการณ์:0 - 10ปี.
• ทักษะที่จำเป็น:
• มีบุคลิกภาพดี สามารถทำงานเป็นทีมได้ และมีความรับผิดชอบสูง สามารถทำงานภายใต้แรงกดดันได้.
• มีทักษะในการสื่อสารและนำเสนอ สามารถจับใจความสำคัญ วิเคราะห์ และสรุปเพื่อความเข้าใจในการทำงานที่ตรงกัน.
• มีความขยัน ตั้งใจ อดทน และมีทัศนคติที่ดีต่อบริษัท.
• มีความคิดสร้างสรรค์ และเรียนรู้สิ่งใหม่ ๆ ได้เร็ว.
• สามารถเดินทางไปทำงานนอกสถานที่ได้.
• สามารถทำงานร่วมกับลูกค้าในการพัฒนาและแก้ปัญหาทางธุรกิจของลูกค้า โดยการประชุม รวบรวมความต้องการ และวิเคราะห์ข้อมูล.
• สามารถแปลงความต้องการของลูกค้า นำมาวิเคราะห์และออกแบบระบบ ระบบฐานข้อมูล.
• สามารถประสานงานกับทีมพัฒนาระบบตามความต้องการของธุรกิจและขอบเขตของโครงการ.
• จัดทำเอกสารที่เกี่ยวข้องกับการออกแบบ เช่น Requirement Spec, Use Case, Functional Specification, Data Requirement, ER Diagram, Data Schema, Data Dictionary เป็นต้น.
• ควบคุมดูแลการทำงานของทีมพัฒนา ให้ทำงานอย่างถูกต้องตามที่ออกแบบ และตรงตามเวลาที่กำหนด.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Business Statistics / Analysis, Market Analysis, Statistics, Analytical Thinking, High Responsibilities, Good Communication Skills, Multitasking, Problem Solving, Teamwork, Work Well Under Pressure, Market Research, English

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• If you are seeking:
• A business with a belief that Value should come before Market Value .
• A company that offers exceptional career experience.
• An employer who values your creativity, curiosity, passion, and desire to learn.
• A cooperation with talented and positive minded think-tankers.
• A supportive and collaborative environment where everyone takes pride in their achievements, the success of others, and the values of their work.
• Then, we match!.
• Your Life at BRANDi.
• BRANDi is led by a purpose, to help drive a positive impact in our communities. This purpose defines who we are and what we stand for, resulting in our work being very challenging and meaningful. At BRANDi, there are unrivalled opportunities for everyone to achieve their highest potential and make an impact that matters to our communities.
• We are truly aware that great people are behind every achievement and we name those great people as BRANDists . We believe in work-life harmony and also offer access to opportunities that support your growth, develop your skills, and guide you to reach your goals. We value each of our BRANDists and understand that everyone is unique. In order to foster individuality, our BRANDists are allowed to design and customize their work in any way they wish as long as it meets our shared objectives and orients towards outcome. As Good to Great is our belief, people with the relentless energy to push themselves further are who we are always seeking.
• In your role, you will:
• Conduct primary and secondary research across industries.
• Identify and analyse insights, challenges and opportunities.
• Formulate strategies and framework.
• Develop presentation and report.
• Collaborate and engage with multiple teams both internal and external stakeholders.
• Solve clients challenges and help them create positive impacts.
• Deliver beyond-expectation outputs and outcomes.
• We are looking for a BRANDist with:
• At least of a Bachelor's degree in BRAND, Marketing, Business, Economics or related field.
• At least 3-year experience in a related field.
• Ability to excellently complete tasks with or without direct supervision.
• Ability to facilitate the workflow and anticipate steps ahead.
• Ability to competently manage and proficiently handle numerous responsibilities at once in an atmosphere of tensions, interruptions, continuous changes, and constantly shifting priorities.
• Ability to produce and deliver executive analysis, presentations and reports.
• Ability to build and maintain positive energy in teams and the whole organization.
• Superb analytical and complex problem-solving skills.
• Outstanding oral and written communication skills both Thai and English with an appropriate manner.
• Flexibility and adaptability to manipulate a range of different tasks and to work extra hours to meet deadlines or to tackle with workload.
• Commitment to constantly seek opportunities to optimize processes and improve efficiency and maximize productivity.
• Positive attitude with a rolls-up-your-sleeves mindsetand acan-do approach.
• Terrific time, team, and client management skills.
• How will you grow?.
• At BRANDi, we believe that learning is critical and there is always room to learn while you are working here. Right from the start, we provide you an exceptional range of opportunities to advance your skills and broaden your knowledge through hands-on experience at national and international levels. We help you to identify and harness your strengths to produce the best work you can. Undoubtedly, you can have a rewarding career on every level. Performance-based opportunities to grow will be offered throughout your career at BRANDi. One thing is for certain, you will never stand still at BRANDi.
• Equal Employment Opportunity:
• BRANDi is proud to be an equal opportunity employer. Applicants and employees shall not be discriminated against because of race, religion, sex, national origin, ethnicity, age, mental or physical disability, sexual orientation, gender (including pregnancy and gender expression) identity, color, marital status, veteran status, medical condition, or any other classification protected by federal, state, or local law or ordinance.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

.NET, Red Hat, ETL, English

ประเภทงาน:

งานประจำ

เงินเดือน:

฿45,000 - ฿90,000, สามารถต่อรองได้

• Job Position: Business Analyst.
• As a Business Analyst, you are responsible for bridging the gap between IT and the business using analytical skills to assess processes, determine requirements and deliver data-driven recommendations including designing a Business Requirement Documentation for the stakeholders. BAs engage with business leaders and users to understand how data-driven changes to process, products, services, software and hardware can improve efficiencies and add value to the business. They must articulate those ideas b ...
• You ll work with our customer who is a Top 5 financial institution of Thailand and leverage a real-time Enterprise Fraud Solution platform which is the best in class in machine learning technique which is recognized in Gartner Market Guide for Online Fraud detection.
• This is a customer-facing role, you will works directly with the customer and delivery team to fully understand the business and deliver the solutions that are fit for purpose including support the customer and relevant technical stakeholders to integrate to our suite of products.
• Conduct the business requirement gathering workshop with all stakeholders to design a Business Requirement Document and data mapping for integration.
• Design Business Data mapping between Company s solution with customer s system to meet the business requirements.
• Lead a team of UAT members in conducting UAT and responsible in working with users/development teams in achieving the project implementation on time.
• Conduct UAT kick off to communicate with users about overall features and UAT plan.
• Prepare Test Plans, Test scenarios and control Test Cases for overall features.
• Review UAT test cases/test scripts are covered on test scope.
• Incorporate with relevant stakeholders to prepare test data/test activities and environment readiness validation on UAT phase.
• Manage UAT teams to execute testing of the software applications per agreed timelines.
• Maintain test documentations such as UAT sign-off, test plans & test reports etc.
• Liaise with various development teams on UAT defects tracking & resolution.
• Ideal Candidate:
• Bachelor's degree in computer science, or a related field.
• 3 Year+ experience in Business analyst roles.
• Experiences working on Large integration projects with multiple stakeholders and organizations.
• Have a good knowledge of Software testing and software development life cycle.
• Experienced in core banking system s datasource attributes and use cases.
• Communicate proactively with all involved personnel to provide encouragement, identify problems, create solutions, and implement efficiency improvements.
• Excellent time management and organizational skills and experience establishing guidelines in these areas for others.
• Experiences working with Banks or Financial Industries (Preferable).
• Understand Fraud Industry (Preferable).
• Have a Technical Background or coding experiences (Preferable).
• Very good communicating in English.
• Ability to handle multiple projects and tasks simultaneously.
• Able for traveling to the customer s site if require or flexible for relocation depending on the customer project based.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Cash Flow Management, Cost Analysis, Problem Solving, Thai, English

ประเภทงาน:

งานประจำ

เงินเดือน:

฿20,000 - ฿60,000, สามารถต่อรองได้

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

• 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

• 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

• 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 #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

• analyzing impact of higher performance of Customer Experience Specialists on customer satisfaction and loyalty.
• analyzing processes to improve Customer Experience Specialists productivity.
• assessing efficiency of recruitment programs for recruiting performant employees.
• Work with stakeholders to understand their business needs and identify opportunities for analysis insight to inform their decision-making.
• Understand and report to your team and senior management on business performance.
• Ensure delivery of regular reports on time and without error.
• Self-manage delivery of analytical projectsDefining the business problem.
• Determining the analytical approach.
• Efficiently extract relevant data.
• Appropriately use statistical and data analysis techniques.
• Sharing your findings using impactful data visualizations and efficient communication.
• Balance multiple priorities, updating stakeholders on progress and expected delivery.
• (Encourage and train department members in best practice use of Agoda data, analysis techniques and interpretation).
• Bachelor's degree in computer sciences, engineering, mathematics, statistics, data science or a related degree program with outstanding academic results.
• 0-3 years work experience (Senior: 4+ years of relevant experience, preferably working with large datasets and experimentation).
• SQL proficiency required: can extract data from large databases using SQL to develop data queries.
• Excellent problem solving skills including the ability to analyze and resolve complex problems.
• Expert Excel user: able to understand and build complex spreadsheets.
• Strong business sense.
• Excellent communication and comprehension skills: confident communicating with people of differing levels of seniority, analytical understanding and from a wide variety of backgrounds.
• Organized and structured: can manage multiple, competing priorities and deliver results under tight deadlines and pressure.
• Fluent in English both spoken and written - additional languages are a plus.
• Attitude.
• Must be curious, proactive, practical and solution-oriented with "Get it done!" attitude.
• Must be data savvy and love crunching numbers: love the idea of working in an international and multicultural company, analyzing billions of actions from millions of travelers choosing from thousands of hotels.
• Must want to tell an impactful story with analysis and smart data visualization, not just number crunch.
• Able and willing to share your opinion and propose ideas to improve operations based on data and have an impact on the customer experience.
• Able to work in a highly multi-cultural team.
• Attentive to detail and committed to data integrity.
• Aware of the importance of discretion, confidentiality, and ethics.
• Good to have (but not required).
• Experience in management consulting.
• Expert in one data analysis package, such as R, Python or VBA.
• Experience with dashboarding / visualization software like Tableau.
• What we offer.
• Be part of a dynamic and exciting data-driven multinational team in a successful and fast growing tech company.
• A clearly defined career path will help you to continuously develop your skills.
• The chance to propose ideas to improve operations based on data and have an impact on the customer experience.
• Benefit:Relocation package for employees joining from abroad.
• International health insurance.
• Annual performance bonus.
• Parking fees reimburse.
• Discount for Agoda employee booking on Agoda.com.
• sydney #Melbourne #brussels #shanghai #beijing #prague #copenhagen #cairo #estonia #helsinki #paris #berlin #munich #hongkong #hcmc #dublin #telaviv #tokyo #kualalumpur #amsterdam #oslo #warsaw #krakow #moscow #singapore #seoul #barcelona #madrid #stockholm #taipei #bangkok #dubai #london #saintpetersburg #vilnius #budapest #newyork #sanfrancisco #losangeles ANLS #IT #4 #LI-MB1.
• 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.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you Have:
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Experience in digital marketing.
• Academic research experience.
• 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

• What do customers care about the most, and what drives them to action? How can we best address it?.
• How do we define that a Customer is Engaged? And what's the correlation between Engagement and LifetimeValue?.
• What kind of behaviour are predictive of the value of a customer? Can we get more customers to show it, and how?.
• Is there a right sequence of information to deliver? What is the best channel for each customer and campaign? And how often can/should we get in touch? What should the message look like?.
• In this Role, you'll get to:
• Analyze: new ideas come from data and tests. Segment the userbase, understand their patterns, react to change in demand and identify new opportunities to deliver value.
• Test: prove your findings by A/B testing changes to any of our communication products. Define your hypothesis, design the framework, launch the campaign, collect and analyze the results of large scale, quick delivery tests.
• Innovate: Learn and develop new features, develop models we can use for optimization, build business cases for completely new implementations, and help us push the boundaries a little further every day.
• This role is good for you if you:
• Are naturally curious, with a focus on value: deliver all kind of insights, prioritizing by impact.
• Value independence and ownership: you will get goals and projects, not so much tasks.
• Have the ambition to make a difference: innovation and drive are necessary to succeed.
• Are ready to challenge anything: data matter, not opinions, seniority or common knowledge.
• What you'll Need to Succeed:
• A proactive, self-driven, exploratory approach to data.
• At least 2 years of experience in analytically focused positions.
• Good Hadoop/SQL and Tableau knowledge.
• Good knowledge of statistics and data processing practices (calculating p-values, data cleaning and normalization, regressions, etc.).
• It's Great if you Have:
• Experience with Customer Marketing/Customer Behaviour data.
• Working knowledge of Python or R.
• Master's Degree or higher from top university in a quantitative or marketing subject (statistics, engineering, digital marketing, financial modelling, etc.).
• 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).
• 2+ years in Data Analyst position or otherwise in projects involving big data.
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you Have:
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Experience in digital marketing.
• Academic research experience.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok #singapore #tokyo #amsterdam #hcmc 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

• 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

ทักษะ:

Thai

ประเภทงาน:

งานประจำ

เงินเดือน:

฿21,000 - ฿35,000, สามารถต่อรองได้

• Generate knowledge about the current business process, design current business flows, study current business processes and its complication for prepare Flow, Diagram and AS-IS document.
• Perform configure as System and Application as AS-IS document, prepare test scripts for testing the configured scenarios.
• User manual preparation and training.
• Problem investigation and solve, including provide an advice or effective solution to users.
• Continuously maintain and improve the system to be smoothly run.
• Bachelor's degree in Computer Engineering, Computer Science, Business Computer, Information Technology, Account Information System, Management Information System or related fields.
• GPAX 2.70 for Bachelor s degree, and 3.30 for Master s degree.
• Good command in English (TOEIC at least 550 is required).
• Be able to work at Navanakorn Industrial Estate.
• Be able to manage dealer business data is advantage.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Ensure equipment deployed meet and comply to domestic system before implementation.
• Perform functional, business case and system integration testing.
• Identify issues and recommend solutions based on test result analysis.
• Generate the necessary test data for different stages of testing.
• Provide pre-implementation as well as post-Implementation support.
• Incident support, performing root cause analysis, resolution execution and escalation of unresolved incidents.
• Manage and analyze the incidents, identify the problem and escalate to Project's Team for support when required.
• Customer Service Management Responsible for operations system testing and training; create training material and test cases, provides on-going support to end users as needed.
• Support functional, business case, and system integration testing.
• Identify issues based on test results and present the findings to relevant stakeholders.
• Provide on-going support to master data and owns country master data.
• Stakeholder Management Work with regional IT to ensure timely deployment of Domestic systems.
• Train new users on system usage.
• Support local super users to identify necessary change requests to enhance the operational systems for local business.
• Work closely with business and various departments to ensure applications are well supported.
• Team Management Develop operational system training skills.
• Develop skills in DHL proprietary application - Domestic System.
• Bachelor Degree or above.
• Minimum 2 - 4 years overall business knowledge in the field (familiar with a variety of the field's concepts, practices, and procedures). Experience in deploying operational systems in new terminals/hubs. Testing experience is a plus.
• Logistic operational experience is preferred.
• Ability to understand business processes and relate them to technical teams.
• Strong oral and written communication, interpersonal skills.
• Ability to work independently and as part of a team.
• Experience using Quality Center/RTC for test execution, and defect management.
• Experience in testing, writing end user documentation.
• Proficient in MS Office (MS Project, Excel, Word, PowerPoint and Visio).
• GL88855 Bangkok, Krung Thep Maha Nakhon Bangkok, Thailand Category Operations Posted Date 08/26/2021 Hours/week 48 eCommerce Solutions DHL eCOMMERCE SOLUTIONS (THAILAND) LIMITED

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Full Stack Application Development on Cloud Automation System, Web Application (Backend and Frontend).
• Design, development, implement, testing and support software application.
• Scope of Work.
• Full Stack Application Development on Cloud Automation System, Web Application (Backend and Frontend).
• Including in Design, development, implement, testing and support software application.
• Prepare technical documentation as required for the project such as Program Specification, Unit Test Script document etc.
• Bachelor's Degree in Computer Engineering, Computer Science, IT.
• Minimum of 3 years of experience in system development.
• Good understanding in Software Development Life Cycle.
• Knowledge of Golang (GIN), RESTful API.
• Knowledge of MVC style web frameworks e.g. Laravel.
• Familiarity with modern Web application library/framework/tools, e.g. Vue, React, Angular, Express, Webpack, Typescript.
• Knowledge in database systems and NoSQL databases.
• Knowledge of Distributed Version Control Software (git).
• Experiences in Linux server.
• Recruiter.
• Kanchisar Dunmai (กัญญ์ชิสา ดันไหม)

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 chinese mandarin cantonese
• 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

• Be curious. Look for gaps in our existing portfolio and look for creative new ways to communicate important brand messages - drive the creative team to push boundaries; benchmark key competitors, but also strive to be a category leader.
• Take ownership. Manage campaigns from end to end - the daily set-up of one-time and automated mobile campaigns. Work with the marketing team to develop/optimize existing products, manage targeting and segmentation, scheduling and deployment. Own the customer experience and ensure users remain engaged, optimized and active.
• Think ahead. Manage the roadmap to document and schedule all experiments/campaigns delivered globally.
• Look for opportunities. Optimize key metrics including CTR, open rates, and sales.
• Design new products and experiences to address key business needs.
• Act fast. Champion best practices, industry trends, and ensure these are translated into tangible ideas and department frameworks.
• Test, test and test some more. Develop an ongoing and detailed AB testing plan to help the continuous improvement of key metrics.
• Your attributes:
• You're an ideas-person, balancing creative flair, data insights and sound commercial sense.
• You're analytical, great with numbers and can visualize the data to obtain quick buy-in from stakeholders.
• You've done it before (3+ years of analytical and/or digital experience) and have a proven track record of delivering projects; industry experience an advantage.
• You're technical enough to discuss flows, logic and data with IT geeks, but you don't let it overpower your creative edge and customer-focused approach.
• You can think at scale and deliver translatable ideas that work across languages, cultures and in the digital age, different devices.
• Your approach:
• You know your product and market inside-out and constantly evaluate the best-in-class competitors or peers to drive constant self/function improvement.
• You're used to taking action and you simplify your tasks to achieve your goals.
• You believe that learning is everything - to you, testing is the best way to learn.
• You constantly think about scalability, whilst understanding and accommodating segment nuances for optimal results.
• You can collaborate and motivate different stakeholders towards a single goal, some of whom may work in different functions/departments and have different KPIs.
• Excellent verbal and written communication. You can adapt your style for multi-cultural and cross-functional audiences, simplifying and adapting your message appropriately.
• Your qualifications & experience:
• A minimum of a Bsc./equivalent in mathematics, marketing, communication, business, or other related field. An MBA/Masters' degree an advantage.
• At least 3 year's relevant work experience in an analytical or data-driven marketing field.
• Strong analytical and quantitative skills, ability to use data to develop and measure marketing campaigns. You must be very comfortable using data to make recommendations and drive decisions.
• Sound knowledge of digital marketing best practices, measures and metrics.
• Advanced knowledge of Excel - VLOOKUP and Pivot Tables should be second-nature.
• Strong communication skills and attention to detail.
• Solid project management skills.
• Team management experience, including people development and KPI setting.
• Experience using SQL and similar queries to analyze data.
• 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.