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Experience:

3 years required

Skills:

Big Data, Hive, SAS

Job type:

Full-time

• Design, implement, and maintain data analytics pipelines and processing systems.
• Experience of data modelling techniques and integration patterns.
• Write data transformation jobs through code.
• Analyze large datasets to extract insights and identify trends.
• Perform data management through data quality tests, monitoring, cataloging, and governance.
• Knowledge in data infrastructure ecosystem.
• Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
• Build data visualizations to communicate findings to stakeholders.
• A willingness to learn and find solutions to complex problems.
• Stay up-to-date with the latest developments in data analytics and science.
• Experience migrating from on-premise data stores to cloud solutions.
• Knowledge of system design and platform thinking to build sustainable solution.
• Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
• Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
• Experience with agile software delivery and CI/CD processes.
• Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
• At least 3 years of experience in data analysis and modeling.
• Proficiency in Python, and SQL.
• Experience with data visualization tools such as Tableau, Grafana or similar.
• Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
• Strong problem-solving skills and the ability to work independently as well as collaboratively.
• This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
• Contact: [email protected] (K.Thipwimon).
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร .

Skills:

Industry trends, Statistics, Python

Job type:

Full-time

• Develop and execute a forward-thinking analytics strategy tailored to the retail industry, focusing on leveraging data platforms to drive revenue growth, operational efficiency, and customer satisfaction.
• Lead, mentor, and inspire a team of data scientists and analysts, fostering a culture of innovation, collaboration, and data-driven decision-making.
• Stay ahead of industry trends, emerging technologies, and best practices in data science and retail analytics to maintain CP Axtra s competitive edge.
• Analytics Execution.
• Oversee the integration of diverse data sources, including POS systems, CRM platforms, online transactions, and third-party providers, into our cloud-based data platform.
• Design and develop advanced machine learning models, algorithms, and statistical analyses to uncover actionable insights related to customer behavior, product performance, and market trends.
• Apply expertise in recommendation and personalization algorithms to enhance customer experiences and engagement.
• Deliver data-driven solutions to optimize pricing strategies, inventory management, and promotional campaigns, leveraging state-of-the-art analytics tools and methodologies.
• Business Partnership.
• Partner closely with retail operations, marketing, and sales teams to understand business challenges and provide tailored analytical support that aligns with strategic objectives.
• Identify opportunities to enhance customer segmentation, personalized marketing efforts, and customer retention strategies through advanced data science techniques.
• Act as a key advisor to senior leadership, translating complex data insights into actionable recommendations and business value.
• Performance Monitoring and Optimization.
• Define and monitor key performance indicators (KPIs) related to retail operations, such as sales conversion rates, customer lifetime value, and basket analysis.
• Leverage analytics to continuously assess and optimize business processes, driving operational efficiency and profitability.
• Communication and Presentation.
• Present complex analytical findings, models, and recommendations to stakeholders in a clear, impactful, and visually compelling manner.
• Collaborate across departments to implement data-driven initiatives that align with CPaxtra s goals and drive tangible outcomes.
• Education and Experience.
• Bachelor s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field (Master s or PhD strongly preferred).
• Extensive experience in analytics, data science, or business intelligence roles, with significant exposure to the retail industry.
• Technical Skills.
• Advanced proficiency in Python, R, SQL, and machine learning frameworks.
• Expertise in data visualization tools (e.g., Tableau, Power BI) and cloud-based data platforms (e.g., AWS, GCP, Azure).
• In-depth knowledge of big data technologies (e.g., Spark, Hadoop) and modern data engineering practices.
• Strong understanding of recommendation/personalization algorithms and data processing technologies.
• Leadership and Business Acumen.
• Proven ability to lead high-performing teams in a dynamic, fast-paced environment.
• Exceptional strategic thinking and problem-solving skills with a demonstrated focus on delivering business value.
• Deep understanding of retail operations, including inventory management, customer journey mapping, and merchandising strategies.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

Experience:

5 years required

Skills:

Product Development, Quantitative Analysis, Data Analysis

Job type:

Full-time

• General: This role is a blend of hands on 'in the business' and executive level 'on the business' work. To succeed you will enjoy rolling up your sleeves, leading a team and contributing to strategy.
• Project Delivery: Manage, standardize & validate the structure of business cases for product development, headcount, engineering resources, budgets, general strategic & roadmap prioritization.
• Experimentation: Define success, measure / validate experiments and help ingrain an ...
• Forecasting and Insights: Provide a macro-led business intelligence view to the organization to prevent missed opportunities, surmount obstacles at all organizational levels and drive commercial behaviors.
• Analytics & Alerts: Quantitative analysis, data mining and presentation of business metrics; identify drivers and build an end-to-end communication framework based on business value, effort and urgency.
• Process Improvement: Work with all teams to drive inter- and intra- departmental efficiencies, optimize processes and prioritize system enhancements.
• Reporting: Build dashboards, internal / external reports and present key datasets to enable all team members to efficiently and effectively monitor performance and prioritize their efforts.
• Leadership: Lead a small team of experts to deliver the above functions and be excited by the challenge of mentoring team members across the chain and connectivity teams.
• 5+ years of leadership experience in analytics/data science/insights/strategy.
• 2+ years' experience leading analytics, operational, product or other technical teams.
• Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar.
• Strong statistical modelling and machine learning knowledge.
• Strong experience in finding data insights and provide business recommendation to the business.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Ability to multi-task, prioritize and coordinate resources.
• Strong program/project management experience.
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• Experience in articulating strategic issues and negotiating with C-level executives - experience in leading strategy consulting projects a plus.
• People management - track record of developing stars.
• Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process.
• Master's degree in statistics, economics, mathematics or similar discipline.
• Experience in conducting A/B testing experimentation.
• Travel industry / e-commerce / tech / consulting experience.
• 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.

Skills:

Compliance, Data Analysis, Power BI

Job type:

Full-time

• Build and maintain an HR data repository tailored to the food business under ThaiBev group, focusing on metrics critical to food operations, such as labor productivity, turnover by location, and shift coverage efficiency.
• Ensure data integrity and compliance with industry-specific labor regulations, maintaining a transparent and accurate source of HR information.
• Collaborate with operations teams to integrate labor data from multiple food business units, enabling holistic insights across various branches and regions.
• Assist HR Line Manager on Strategic HR Analytics for Workforce OptimizationConduct data analysis on staffing patterns, turnover rates, and workforce efficiency to identify optimization opportunities aligned with food business cycles.
• Use predictive analytics to anticipate workforce needs for peak and off-peak seasons, aiding in proactive staffing and cost control with operation team to centralization.
• Assist on Commercial Structure and Labor Cost Management for Food OperationsAnalyze labor costs relative to revenue and operational efficiency within different food outlets, providing insights to optimize staffing while maximizing profitability.
• Support the development of labor cost budgets that align with product pricing and sales targets in the food sector, helping maintain competitive yet profitable operations.
• Generate regular reports on labor cost performance against targets, identifying areas for improvement and enabling business leaders to adjust strategy as needed.
• Be Leader on developing Power BI Development for Real-Time Food Business InsightsDesign and deploy Power BI dashboards specific to food operations, offering real-time insights on key metrics like labor costs, staffing levels, and turnover rates across outlets.
• Collaborate with senior leaders in the food division to customize dashboards, highlighting KPIs that impact food production, service speed, and customer satisfaction.
• Continuously update Power BI capabilities to provide comprehensive, up-to-date views on HR metrics essential to food business strategy.
• 3+ years of experience in analytics, data management not specific in HR experience.
• Demonstrated proficiency in Power BI development and advanced Excel skills, including VBA, macros, and pivot tables.
• Prior experience in labor cost analysis, commercial structure evaluation.
• Contact Information:-.
• Oishi Group Public Company Limited.
• CW Tower, No.90. Ratchadapisek Road, Huai Khwang, Bangkok.

Experience:

5 years required

Skills:

Data Analysis, Python, SQL, Power BI

Job type:

Full-time

• Data Collection and Cleaning: Gather data from various sources and prepare it for analysis by cleaning and checking for completeness or errors.
• Data Analysis: Utilize statistical techniques to study, analyze, discover insights, and derive meaningful data-driven conclusions.
• Reporting: Create reports in various formats, presenting data through graphs, features, or figures for stakeholders' use.
• Collaboration: Work with other teams to plan data analysis or resolve specific issues affecting organizational goals.
• Performance Monitoring: Define and track key performance indicators (KPIs) to measure the effectiveness and efficiency of various projects.
• Strategic Planning: Assist the management team in strategic planning by using data analysis to improve workflows and processes.
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as PowerBI, R, Python, SQL. C++.
• At least 5 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL).
• Knowledge of ETL tools and techniques for data integration and transformation is a plus.
• Location: BTS Ekkamai
• Working Day: Mon-Fri.

Experience:

5 years required

Skills:

SQL, Python, SAS, R, Data Analysis

Job type:

Full-time

• Manage and plan the data direction and strategy for business need.
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
• 5 years of experience as a data analyst or business data analyst.
• Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data studio, Big Query,model,generative AI.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment.

Skills:

Microsoft Office, Excel, Statistics, English

Job type:

Full-time

• Summarize data in tables, charts, and graphs.
• Analyze and interpret sales data and consumer data + One NielsenIQ portfolio data.
• Deliver final reports and presentations (category overview as well as issue-based) building a story and final recommendations.
• Review data for errors and inconsistencies.
• Use internal tools and data sources.
• Follow and fully owns Center of Excellence (COE) ways of the working process, manages Clients'/Client Business Partners (CBPs') expectations.
• Interacts with client staff on routine issues.
• Independently discusses analysis design to best answer client questions with CBP/client.
• Discuss design and calculate the Quantified Business Opportunity.
• Drive time/cost-effectiveness on the project.
• Support meeting the COE objectives as a whole.
• Inspire peers and co-workers.
• QualificationsCuriosity will bring you to understand where the market is moving and to provide business solutions based on the client's needs. Your chance to deliver high-quality client services all the time is here, working together with our client business partners, while your communication skills will help you to adapt to the multi-diverse working culture.
• Bachelor s Degree from reputable Universities, min GPA 2.5.
• Fresh Graduate are welcome to apply.
• Strong business and financial acumen (including business environment and client) with excellent analytical skills.
• Understanding of growth and brand strategy.
• Strong communication skills & presentation skills, able to interpret numbers or data by storytelling techniques.
• Ability to work independently and comfortable working in a digitally enabled environment.
• Strong Organizational & interpersonal skills.
• Good client service skills and able to communicate and write effectively in English and Thai.
• Knowledge of Microsoft Office, especially PowerPoint and Excel.
• Retail data experience is a plus.
• Basic knowledge in statistics would be an added advantage.
• Additional Information
• Our Benefits.
• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee-Assistance-Program (EAP).
• About NIQ.
• NIQ is the world s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights delivered with advanced analytics through state-of-the-art platforms NIQ delivers the Full View&trade. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world s population.
• For more information, visit NIQ.com.
• Want to keep up with our latest updates?.
• Follow us on: LinkedIn | Instagram | Twitter | Facebook.
• Our commitment to Diversity, Equity, and Inclusion.
• NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion.

Experience:

3 years required

Skills:

Business Development, Assurance, Salesforce

Job type:

Full-time

• Design and architect client-specific tagging and analytics solutions for digital experience optimization, multi-platform implementations, A/B testing, user behavior analytics, conversion tracking, key measurement, custom tracking solutions, report and dashboard.
• Lead technical discovery workshops to develop measurement strategies while providing consultation during client pitches and new business development.
• Develop comprehensive analytics & tagging implementation guidelines including data l ...
• Partner with growth & business development teams for solutions implementation and lead technical scoping for client projects.
• Establish technical standards across implementations to ensure consistency, scalability, and data quality.
• Advise clients, ensure quality assurance, and drive innovation in measurement solutions.
• Lead evaluation of new tracking technologies and capabilities for client analytics advancement.
• Develop relationships with analytics technology partners and vendors for effective client solutions.
• Create training programs to enhance team's technical capabilities and client's understanding of solutions.
• Qualifications Bachelor's degree in Computer Science, Analytics, or related technical field.
• 3-5+ years experience in digital analytics & tag implementation.
• Expert knowledge of cloud & CDP platforms (GCP, AWS, Salesforce Data Cloud, Tealium, Segment, Treasure Data), tag management systems (GTM, Tealium, Adobe Launch), analytics platforms (GA4, Adobe Analytics), testing tools (Optimize, Optimizely, VWO), marketing technology platforms, JavaScript and front-end technologies.
• Experience in creating dashboards and reports using Looker Studio, Google BigQuery, Firebase Analytics, Power BI or similar data visualization tools with understanding of SQL and basic data manipulation.
• Strong experience in client consulting and requirement gathering, creating technical documentation, leading implementation projects, delivery processes, and multi-platform tracking solutions.
• Excellent client-facing communication and presentation skills with ability to translate complex technical concepts to various stakeholders with problem solving skills.
• Deep understanding of digital marketing and advertising, user experience optimization, data governance & privacy regulations, web performance optimization, and marketing technology landscape.
• Location: Bangkok Brand: Dentsu Cxm Time Type: Full time Contract Type: Permanent

Experience:

8 years required

Skills:

Product Development, Quantitative Analysis, Data Analysis

Job type:

Full-time

• General: This role is a blend of hands on 'in the business' and executive level 'on the business' work. To succeed you will enjoy rolling up your sleeves, leading a team and contributing to strategy.
• Project Delivery: Manage, standardize & validate the structure of business cases for product development, headcount, engineering resources, budgets, general strategic & roadmap prioritization.
• Experimentation: Define success, measure / validate experiments and help ingrain an ...
• Forecasting and Insights: Provide a macro-led business intelligence view to the organization to prevent missed opportunities, surmount obstacles at all organizational levels and drive commercial behaviors.
• Analytics & Alerts: Quantitative analysis, data mining and presentation of business metrics; identify drivers and build an end-to-end communication framework based on business value, effort and urgency.
• Process Improvement: Work with all teams to drive inter- and intra- departmental efficiencies, optimize processes and prioritize system enhancements.
• Reporting: Build dashboards, internal / external reports and present key datasets to enable all team members to efficiently and effectively monitor performance and prioritize their efforts.
• Leadership: Lead a small team of experts to deliver the above functions and be excited by the challenge of mentoring team members across the chain and connectivity teams.
• 8+ years of leadership experience in analytics/data science/insights/strategy.
• 5+ years' experience leading analytics, operational, product or other technical teams.
• Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar.
• Strong statistical modelling and machine learning knowledge.
• Strong experience in finding data insights and provide business recommendation to the business.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Ability to multi-task, prioritize and coordinate resources.
• Strong program/project management experience.
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• Experience in articulating strategic issues and negotiating with C-level executives - experience in leading strategy consulting projects a plus.
• People management - track record of developing stars.
• Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process.
• Master's degree in statistics, economics, mathematics or similar discipline.
• Experience in conducting A/B testing experimentation.
• Travel industry / e-commerce / tech / consulting experience.
• 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.

Experience:

6 years required

Skills:

Product Development, Quantitative Analysis, Data Analysis

Job type:

Full-time

• General: This role is a blend of hands on 'in the business' and executive level 'on the business' work. To succeed you will enjoy rolling up your sleeves, leading a team and contributing to strategy.
• Project Delivery: Manage, standardize & validate the structure of business cases for product development, headcount, engineering resources, budgets, general strategic & roadmap prioritization.
• Experimentation: Define success, measure / validate experiments and help ingrain an ...
• Forecasting and Insights: Provide a macro-led business intelligence view to the organization to prevent missed opportunities, surmount obstacles at all organizational levels and drive commercial behaviors.
• Analytics & Alerts: Quantitative analysis, data mining and presentation of business metrics; identify drivers and build an end-to-end communication framework based on business value, effort and urgency.
• Process Improvement: Work with all teams to drive inter- and intra- departmental efficiencies, optimize processes and prioritize system enhancements.
• Reporting: Build dashboards, internal / external reports and present key datasets to enable all team members to efficiently and effectively monitor performance and prioritize their efforts.
• Leadership: Lead a small team of experts to deliver the above functions and be excited by the challenge of mentoring team members across the chain and connectivity teams.
• 6+ years of leadership experience in analytics/data science/insights/strategy.
• 3+ years' experience leading analytics, operational, product or other technical teams.
• Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar.
• Strong statistical modelling and machine learning knowledge.
• Strong experience in finding data insights and provide business recommendation to the business.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Ability to multi-task, prioritize and coordinate resources.
• Strong program/project management experience.
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• Experience in articulating strategic issues and negotiating with C-level executives - experience in leading strategy consulting projects a plus.
• People management - track record of developing stars.
• Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process.
• Master's degree in statistics, economics, mathematics or similar discipline.
• Experience in conducting A/B testing experimentation.
• Travel industry / e-commerce / tech / consulting experience.
• 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.

Experience:

2 years required

Skills:

Product Development, Quantitative Analysis, Data Analysis

Job type:

Full-time

• Leadership & Strategy: Blend hands-on work with executive-level strategy. Roll up your sleeves, lead a team, and contribute to our growth.
• Project Delivery: Manage and standardize business case structures for product development, resource allocation, and strategic prioritization.
• Experimentation: Define success metrics, validate experiments, and foster an experimental mindset within teams.
• Forecasting & Insights: Provide macro-level business intelligence to prevent missed opportunities and drive commercial behaviors.
• Analytics & Alerts: Conduct quantitative analysis, data mining, and present business metrics. Build an end-to-end communication framework based on business value, effort, and urgency.
• Process Improvement: Drive efficiency across departments, optimize processes, and prioritize system enhancements.
• Reporting: Build dashboards, create internal and external reports, and present key datasets to enable efficient performance monitoring.
• Mentorship: Lead a team of experts and mentor team members across the chain and connectivity teams.
• 5+ years of leadership experience in analytics, data science, insights, or strategy.
• 2+ years of experience leading analytics, operational, product, or technical teams.
• Expertise in data analysis and visualization tools such as Excel, SQL, Tableau, Python, R, or similar.
• Strong knowledge of statistical modeling and machine learning.
• Proven ability to derive business insights from data and provide actionable recommendations.
• Excellent written, verbal, and interpersonal communication skills.
• Strong project management skills and the ability to multi-task, prioritize, and coordinate resources.
• Bachelor's degree in a business or quantitative field (e.g., computer science, mathematics, engineering, economics, or finance).
• Experience in articulating strategic issues and negotiating with C-level executives. Experience in leading strategy consulting projects is a plus.
• Proven track record of developing talent and managing teams.
• Ability and willingness to drive projects independently and engage stakeholders throughout the process.
• Master's degree in statistics, economics, mathematics, or a similar discipline.
• Experience in conducting A/B testing and experimentation.
• Experience in the travel industry, e-commerce, tech, or consulting.
• Why Join Us?.
• Impactful Work: Drive strategic initiatives and shape the future of our Supply department.
• Collaborative Environment: Work with diverse, cross-functional teams and top-level executives.
• Growth Opportunities: Develop your skills and career in a dynamic and supportive environment.
• Exciting Location: Experience the vibrant culture and opportunities in Bangkok, with relocation assistance provided.
• Ready to Make a Difference?.
• Join us and be part of an exciting journey to innovate and excel. Apply now to become our next Manager, Analytics & Insights!.
• 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.