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Skills:

Microsoft SQL Server, Recruitment, English

Job type:

Full-time

• 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.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• 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 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.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• 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.

Experience:

2 years required

Skills:

Microsoft SQL Server, Problem Solving, Leadership Skill, Teamwork

Job type:

Full-time

• Apply emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
• Designing and implementing data structures to support Big Data, Analytical models and traditional BI/DW reporting solutions using technologies such as Microsoft SQL, Oracle, SAP, Cloudera, IBM Watsons, MuleSoft, Qlik Technologies or Informatica.
• Designing and developing data integration using Data Governance, Data Quality, MDM and Metadata management.
• Applying analytical models to predict business outcomes with tools such as DataRobot and languages like Python or R.
• You will be part of a collaborative team that provides our clients with solutions that are practical as well as visionary and have an impact from the back office to the boardroom.
• Demonstrated experience across a broad range of industries such as Energy and Resources, Public Sector, Financial Services, Life Sciences and Health Care, Consumer Business, Manufacturing, Telecommunications or Consumer Business.
• Ability to link industry specific business requirements to BI, Analytics and Big Data solutions.
• Ability to recommend BI/DW/Analytics processes, governance, organisational and platform models, tool selections, and data integration options to clients.
• Project experience through all phases of the project lifecycle from strategy and advisory, scoping and planning, requirements gathering, design, development, testing, training and deployment.
• Actively seek out developmental opportunities for growth, act as strong brand ambassadors for the firm as well as share their knowledge and experience with others.
• Respect the needs of their colleagues and build up cooperative relationships.
• Understand the goals of our internal and external stakeholder to set personal priorities as well as align their teams' work to achieve the objectives.
• Constantly challenge themselves, collaborate with others to deliver on tasks and take accountability for the results.
• Build productive relationships and communicate effectively in order to positively influence teams and other stakeholders.
• Offer insights based on a solid understanding of what makes Deloitte successful.
• Project integrity and confidence while motivating others through team collaboration as well as recognising individual strengths, differences, and contributions.
• Understand disruptive trends and promote potential opportunities for improvement.
• A good honors Degree, preferably at postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines.
• Experience in Big 4 or MNC Consulting firm or industry equivalent role.
• Minimum 2 years (Analyst) or 4 years (Consultant) of relevant experience.
• Strong experience in one or more of the following programming languages: Scala, Python, or R.
• Experience with one or more non-relational data stores such as Pivotal, Cloudera, Hortonworks, MapR, Oracle BDA.
• Experience with one or more relational data stores using SQL, Oracle DB, Microsoft SQL Server, IBM Netezza, Teradata or MySQL.
• Experience building data ingestion and transformation pipelines using Big Data technologies, including one or more of the following: Spark, Hive, Pig, Kafka, MapReduce, HBase, Sqoop, Flume or Storm.
• Experience in cloud Data Engineering.
• Experience working with Agile software engineering tools and applying Agile methodologies in a pragmatic manner.
• Experience working with Source Control Management tools such as Git, Subversion or Mercurial.
• General knowledge of Linux/Unix based operating systems and Shell scripting.
• Experience directly interfacing with business and IT stakeholders for clients.
• Excellent problem solving skills, ability to think out-of-the-box, work under pressure and tight project timelines.
• Drive, tenacity, client focused and results oriented.
• Excellent communication and presentation skills in English.
• In addition to strong client service orientation, we are also seeking talented leaders who have the capability to deliver quality solutions with superior analytical and problem solving skills. Besides excellent interpersonal and communication skills, candidates should have proven demonstration of sound business acumen, teamwork and leadership qualities. An appreciation of the consulting lifestyle and ability to travel is a pre-requisite.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.

Skills:

Microsoft SQL Server, Data Analysis, Recruitment, SAS, English

Job type:

Full-time

• Experimentation and optimizing campaign performance: Experiment with pricing strategies on different traffic and segments. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap.
• Reporting, analysis and insights: Building dashboards to track performance, derive i ...
• 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.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 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.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• 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.

Experience:

4 years required

Skills:

Microsoft SQL Server, Data Analysis, Negotiation, Recruitment, SQL

Job type:

Full-time

• Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, TripAdvisor, Trivago, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liais ...
• Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders.
• Bachelor's degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study.
• 4+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company.
• Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc.
• Excellent verbal and written communication skills in English.
• Ability to move fast and be efficient, making decisions on objective data evidence.
• Innate desire to take ownership, make an impact and influence outcomes.
• Excellent organizational skills, attention to detail and ability to work independently.
• Experience in digital marketing or e-commerce.
• Experience with A/B testing and other testing metrics.
• Strong presentation and negotiation skills.
• STRA#ANLS#MRKT#3#LI-TR2 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 power bi.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• 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.

Skills:

Microsoft SQL Server, Data Analysis, Recruitment, SAS, English

Job type:

Full-time

• 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.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 4+ 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.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 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.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• 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.

Experience:

2 years required

Skills:

Microsoft SQL Server, Data Analysis, Recruitment, SAS, English

Job type:

Full-time

• Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with ...
• Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders.
• Bachelor's degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science).
• Excellent verbal and written communication skills in English.
• 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company.
• Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI.
• Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel.
• Innate desire to take ownership, make an impact and influence outcomes.
• Excellent organizational skills, attention to detail and ability to work independently.
• Experience in digital marketing or ecommerce.
• Experience with A/B testing and other testing metrics.
• Strong presentation and negotiation skills.
• Skills that foster collaboration and team spirit.
• STRA#ANLS#MRKT#3#LI-TR2 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 power bi.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• 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.

Experience:

2 years required

Skills:

Microsoft SQL Server, Data Analysis, Recruitment, SAS, English

Job type:

Full-time

• Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with ...
• Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders.
• Bachelor's degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science).
• Excellent verbal and written communication skills in English.
• 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company.
• Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI.
• Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel.
• Innate desire to take ownership, make an impact and influence outcomes.
• Excellent organizational skills, attention to detail and ability to work independently.
• Experience in digital marketing or ecommerce.
• Experience with A/B testing and other testing metrics.
• Strong presentation and negotiation skills.
• Skills that foster collaboration and team spirit.
• STRA#ANLS#MRKT#3#LI-TR2 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 power bi.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• 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.

Skills:

Microsoft SQL Server, Data Analysis, Recruitment, English

Job type:

Full-time

• 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.
• Fresh Graduates are welcome to apply!.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science or related fields).
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• 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.
• entrylevel.
• STRA#ANLS#MRKT#3#LI-TR2 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.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• 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.

Experience:

4 years required

Skills:

Microsoft SQL Server, Data Analysis, Negotiation, Recruitment, SQL

Job type:

Full-time

• Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, TripAdvisor, Trivago, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liais ...
• Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders.
• Bachelor's degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study.
• 4+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company.
• Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc.
• Excellent verbal and written communication skills in English.
• Ability to move fast and be efficient, making decisions on objective data evidence.
• Innate desire to take ownership, make an impact and influence outcomes.
• Excellent organizational skills, attention to detail and ability to work independently.
• Experience in digital marketing or e-commerce.
• Experience with A/B testing and other testing metrics.
• Strong presentation and negotiation skills.
• STRA#ANLS#MRKT#3#LI-TR2 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 power bi.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• 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.

Skills:

Microsoft SQL Server, Data Analysis, Recruitment, English

Job type:

Full-time

• 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.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• 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 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.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• 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.

Skills:

Microsoft SQL Server, Software Development, Problem Solving, Oracle, node.js

Job type:

Full-time

• Produce clean and efficient code based on requirements on Web or Mobile Design solid database structure to create new software functionality Test, deploy and maintenance large-scale software applications Do code review and provide suggestion for improvment Do code refactoring to restructure existing code for better code quality Design Database for Web Application, APIs Proficiency with relational database (Oracle, Microsoft SQL Server).
• Bachelor's Degree or higher in Computer Science, Software Engineering, Information T ...

Skills:

Microsoft SQL Server, Software Development, SQL

Job type:

Full-time

• Provides team and user with technical recommendation and procedural design.
• Liaison between user, operation team, other support area, IT vendor to provide superior customer service.
• Develops functional specifications and system design specifications for user engagements.
• Responsible for the application design, application development that meets system standards from beginning to end.
• Co-operates and facilitates team and related participant interaction.
• Strong background in SQL programming and Microsoft SQL Server 2017 management.
• Ability to participate and share knowledge for Business process re-engineering, Process control review and design, Lean.
• Male/Female, Bachelor or higher degree in Computer Science or related field, Ages not over 30 years.
• Knowledge of RDBMS, Data Modeling, Data Warehouse and.NET is preferable.
• Self-motivated, ambitious and quickly absorb.
• Problem solver.
• Strong analytical and organizational skills.
• Work independently and effectively as part of a team.
• Handling multiple tasks and responsibilities in a dynamic environment.
• Excellent verbal and written communication skills.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.
• knowledge of financial product such as Equity, Derivative, Mutual Fund, Stock lending and borrowing etc. is preferable.

Skills:

Microsoft SQL Server, User Experience (UX), User Interface (UI), Full Stack, node.js

Job type:

Full-time

• Updating existing programs.
• Identifying and correction errors.
• Rewriting programs for different operating systems.
• Secure program against cybersecurity threats.
• Able to Design & Develop Program Based on Coding (Full stack /Frontend/Backend developer).
• programming language: React, Node.js, Dart (Flutter),JavaScript,.Net Core (One or More).
• Design User Interface (UI) and User Experience (UX) for Web / Mobile Platform.
• Design Database for Web Application, APIs.
• Proficiency with relational database (Oracle, Microsoft SQL Server).
• Start applying with LinkedIn.
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• Information at a Glance.
• CPF Worldwide.

Skills:

Microsoft SQL Server, Recruitment, SQL, English

Job type:

Full-time

• Data analysis: Analyze massive amounts of data generated in experiments, build dashboards and make actionable recommendations.
• Pricing: Experiment with different pricing frameworks across channels to grow the business.
• Performance marketing: Scale our performance marketing channels (e.g., metasearch, ads etc.).
• Strategy: Work with cross-functional stakeholders to arrive at investment plan for markets and channels.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently and succinctly in English.
• Good numerical reasoning skills.
• Strong problem-solving skills.
• Proficiency in Excel and SQL.
• Intellectual curiosity.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Experience in digital marketing.
• Experience in travel sector (specifically flights).
• STRA#ANLS#MRKT#3#LI-TR2 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.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• 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.

Skills:

Microsoft SQL Server, Data Analysis, Recruitment, SAS, English

Job type:

Full-time

• 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.
• 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.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 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.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• 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.

Skills:

Microsoft SQL Server, Recruitment, Automation, Power BI, SSIS

Job type:

Full-time

• Data Integration & ETL Development Design & Deploy: Build, develop, and deploy robust SSIS packages for complex data integration workflows.
• Pipeline Management: Construct and maintain end-to-end ETL pipelines handling data extraction from multiple sources (ERP, CRM, flat files, APIs), applying transformation logic aligned with business rules, and loading data into data warehouse/data platform layers.
• Performance Optimization: Optimize SSIS packages for maximum performance (parallelization, indexing awareness), maintainability (modular design), and comprehensive error handling and logging.
• Data Ingestion: Develop and manage batch ingestion (scheduled ETL jobs) and incremental/delta data loads.
• Systems Integration: Seamlessly integrate data from SQL Server, external databases, flat files (CSV, Excel), APIs, and third-party systems while ensuring data consistency across multiple source systems.
• Platform Onboarding: Support the onboarding of new data sources into the core data platform.
• Data Transformation & Modeling Implement critical data transformation logic, including data cleansing, standardization, enrichment, and business rules application. Support data transformation initiatives aligned strictly to data models (fact and dimension structures). Partner closely with the Data and Business Analyst teams to ensure delivered data is optimally structured for analytics consumption.
• Data Jobs Scheduling & Automation Configure and manage SQL Server Agent jobs alongside ETL scheduling and orchestration tools. Automate data processes to guarantee timely execution of pipelines with minimal manual intervention. Support complex dependency handling between sequential data workflows.
• Education & Experience.
• Bachelor's degree in Information Technology, Computer Science, or an equivalent field. Certifications (Preferred/Required): Microsoft SQL Certification Microsoft Data Platforms (Power BI and Fabric) ITIL Certification Microsoft O365 Platform Note to External Recruitment Agencies: Terumo does not recognize candidate submissions from any recruitment agencies and will not be responsible for payment of any recruitment fees due to the hiring of candidates whose resumes were submitted to Terumo employees or offices without the recruiting team's acknowledgement.

Skills:

Quantitative Analysis, Microsoft SQL Server, Data Analysis, Recruitment, eCommerce

Job type:

Full-time

• Own and evolve pricing strategies and optimization for B2B partner channels.
• Build and lead experimentation roadmaps, including test design, success measures, decision frameworks, and post-test actions.
• Evaluate pricing and growth opportunities through structured analysis, including elasticity, incrementality, cannibalization, and scenario modeling where relevant.
• Act as a trusted advisor to senior internal and external stakeholders; surface trade-offs, align priorities, and drive decisions to closure; Coordinate cross-functional execution across Commercial, Product, Data Science, Marketing, and operations teams.
• Turn complex findings into concise executive narratives, recommendations, and decision-ready materials; Manage strategic partner and vendor interactions when required, including presentations, working sessions, and follow-ups.
• What you'll bring.
• Experience applying quantitative analysis to commercial decisions in technology, e-commerce, travel, management consulting, internal strategy, or pricing.
• Strong business judgment and structured problem-solving skills, with the ability to frame ambiguous questions, evaluate trade-offs, and recommend a path forward.
• Exceptional stakeholder management and communication skills, including the ability to influence without authority and build alignment across functions, seniority levels, and geographies.
• Fluency with data and analytical tools, including advanced SQL; experience with visualization tools such as Tableau or an equivalent platform.
• Practical experience designing or interpreting controlled experiments and translating results into decisions.
• A high-ownership, bias-for-action mindset and comfort operating in a fast-paced, test-and-learn environment.
• A bachelor's degree in a quantitative, business, or related field, or equivalent practical experience.
• It's a plus if you have.
• A background in using quantitative data for decision making within tech, ecommerce, management consulting, internal strategy, or pricing initiatives.
• Experience building decision frameworks or analytical tools that are used repeatedly in live business decisions.
• Working knowledge of Python or R for modeling and scalable analysis.
• What success looks like.
• Become a trusted advisor whose recommendations are clear, rigorous, and commercially grounded.
• Turn pricing insights and experiments into decisions and coordinated execution.
• Build alignment across stakeholders, functions, and markets.
• Develop repeatable approaches that can scale across partners.
• STRA#ANLS#MRKT#3#LI-TR2 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.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• 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.

Experience:

3 years required

Skills:

.NET, SQL, Microsoft SQL Server

Job type:

Full-time

• Gathers and analyzes software requirement to efficiently address business needs.
• Provides team and user with technical recommendation and procedural design.
• Liaison between user, operation team, other support area, IT vendor to provide superior customer service.
• Develops functional specifications and system design specifications for user engagements.
• Responsible for the application design, application development that meets system standards from beginning to end.
• Co-operates and facilitates team and related participant interaction.
• Strong background in SQL programming and Microsoft SQL Server 2017 management.
• Ability to participate and share knowledge for Business process re-engineering, Process control review and design, Lean.
• Male/Female, Bachelor or higher degree in Computer Science or related field, Ages not over 30 years.
• Knowledge of RDBMS, Data Modeling, Data Warehouse and.NET is preferable.
• Self-motivated, ambitious and quickly absorb.
• Problem solver.
• Strong analytical and organizational skills.
• Work independently and effectively as part of a team.
• Handling multiple tasks and responsibilities in a dynamic environment.
• Excellent verbal and written communication skills.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.
• knowledge of financial product such as Equity, Derivative, Mutual Fund, Stock lending and borrowing etc. is preferable.

Skills:

Microsoft SQL Server, SQL

Job type:

Full-time

Monitor system performance and capacity across critical IT systems, proactively identifying and escalating potential issues to maintain availability and data integrity. Manage and maintain servers and IT operations to ensure system availability and performance. Investigate and diagnose issues on Microsoft SQL Server databases, including writing and executing SQL queries, analyzing data integrity problems, reviewing error logs, and coordinating resolution with the Chubb Regional team Coordinate with the Chubb Regional team to troubleshoot, reproduce, and resolve incidents related to ...

Skills:

Microsoft SQL Server, Windows Server, Oracle, Linux, MySQL

Job type:

Full-time

• วางแผน ดูแล และบริหารจัดการระบบ Infrastructure ขององค์กร ทั้ง Server,(Unix/Linux/Windows),Network และอุปกรณ์ที่เกี่ยวข้องให้พร้อมใช้งานและมีเสถียรภาพ.
• ดูแลและประสานงานด้าน Database Infrastructure ของระบบ Oracle (ERP),MSSQL(HR)และMySQL(ระบบอื่นๆ)ร่วมกับทีมงานที่เกี่ยวข้อง.
• สนับสนุนและร่วมดำเนินโครงการ Implement ระบบ ERP on Cloud (Oracle EBS on OCI)ในส่วนของ Infrastructure และการเชื่อมต่อกับระบบ On-premise เดิม.
• วางแผนและดูแลระบบ Backup, Disaster Recovery(DR) และความปลอดภัยของระบบ(Security) ให้เป็นไปตามมาตรฐาน.
• ดูแลระบบ Infrastructure ที่สำนักงานใหญ่ โรงงาน(บางชัน) และคลังสินค้า (มีนบุรี) รวมถึงเดินทางไปปฏิบัติงาน ณ สาขาต่างๆ ตามความจำเป็น.
• ตรวจสอบ วิเคราะห์ และแก้ไขปัญหาเชิงเทคนิคที่เกิดขึ้นกับระบบได้อย่างทันท่วงที.
• จัดทำเอกสารมาตรฐานการปฏิบัติงาน (SOP), Network Diagram และเอกสารที่เกี่ยวข้องกับระบบ Infrastructure.
• ประสานงานกับ Vendor ผู้ให้บริการระบบต่างๆ เช่น Oracle, Cloud Provider (OCI) และผู้ให้บริการ Network/Security.
• ให้คำปรึกษาและสนับสนุนทีมงาน IT (Support Team) ในการแก้ไขปัญหาเบื้องต้น.
• ทักษะ.
• และประสบการณ์.
• วุฒิการศึกษาปริญญาตรีขึ้นไป สาขาวิทยาการคอมพิวเตอร์ วิศวกรรมคอมพิวเตอร์ เทคโนโลยีสารสนเทศ หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน IT Infrastructure/System Administrator อย่างน้อย 3-5 ปี ขึ้นไป.
• มีความรู้ความเข้าใจในการดูแลระบบปฏิบัติการ Unix, Linux และ Windows Server เป็นอย่างดี.
• มีความรู้พื้นฐาน Database เช่น Oracle, Microsoft SQL Server และ MySQL (ในระดับ Infrastructure/Administration).
• มีประสบการณ์หรือความรู้เกี่ยวกับ Cloud Infrastructure โดยเฉพาะ Oracle Cloud Infrastructure(OCI) จะได้รับการพิจารณาเป็นพิเศษ.
• มีความรู้ด้าน Network,Security, Firewall, Backup และ Disaster Recovery.
• มีทักษะการวิเคราะห์และแก้ไขปัญหาเฉพาะหน้าได้ดี สามารถทำงานภายใต้ความกดดันได้.
• มีภาวะผู้นำ สามารถให้คำแนะนำและถ่ายทอดความรู้แก่ทีมงานได้.
• สามารถสื่อสารภาษาอังกฤษได้ในระดับดี (อ่าน/เขียน เอกสารทางเทคนิค).
• สามารถเดินทางไปปฏิบัติงานที่สาขาอื่น (โรงงานบางชัน,คลังสินค้ามีนบุรี) ได้ตามความจำเป็น.
• สามารถทำงานวันจันทร์ - ศุกร์ และวันเสาร์เว้นเสาร์ แบบ Onsite 100 % ได้.
• มีประสบการณ์ตรงในการทำ Project Implement/Migrate ระบบ ERP สู่ Cloud.
• มี Certificate ที่เกี่ยวข้อง เช่น OCI,RHCE,MCSA/MCSE หรือเทียบเท่า.
• มีประสบการณ์ในธุรกิจการผลิต (Manufacturing) หรือ FMCE.