เงื่อนไขการค้นหา

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Architecture, Big Data, Teamwork, SQL, ETL

ประเภทงาน:

งานประจำ

• Data management developer is responsible for.
• the.
• successful delivery of business.
• intelligence information to the entire organization and is experienced in BI.
• development and implementations.
• Design stable, reliable and effective data.
• architecture and data mart.
• Understanding of BI best practices and be able.
• to create relational structures, dimensional data modeling, structured query.
• language (SQL) skill, data warehouse and reporting techniques, performing ETLs.
• and validating results with business representatives.
• monitoring and tuning queries and data loads, addressing user questions.
• concerning data integrity, monitoring performance and communicating functional.
• and technical issues.
• Bachelor or Master Degree in Computer.
• Engineering, Computer Science, Technology information systems, or any other IT.
• related field.
• At least 3 years of experiences in data.
• warehousing development and architecture hands-on physical/logical database and.
• data mart design, experience in big data is advantage.
• Strong SQL development skills -- knowledge of.
• writing complex queries, and query tuning.
• Experience data processing with ETL/BI tools.
• Good communication, collaboration skills and.
• teamwork.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Business Development, Problem Solving, Recruitment, Automation, Tableau, YouTube, Python, SQL

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• THIS ROLE IS BASED IN BANGKOK, THAILAND (RELOCATION PROVIDED).
• Location of this job: Bangkok, Thailand (*Not open for remote working.).
• About Agoda.
• Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 6,000+ employees representing 90+ nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
• The Supply Analytics team is a team of creative entrepreneurs that develop solutions for Agoda's accommodation partners and promote Agoda's top and bottom-line growth. We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda's unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.
• The team is a fast growing and dynamic team within Supply department of Agoda. The team is responsible for developing and scaling a range of marketing solutions for accommodation partners focusing on growth, visibility, conversion, pricing recommendations and financial products, as well as advertising and display marketing solutions for businesses and travel organizations.
• The role sits within the Supply Analytics team under Supply department, where new business ideas, and partnership types are incubated and scaled. The right candidate will play a critical role in shaping the BI team's overall strategy and will lead the execution of new business verticals/opportunities.
• This is a broad scoped role, suited to those with a track record of leading enterprise level BI function and/or creating new and high impact business verticals from scratch, from a consulting, sales or business development background with a strong entrepreneurial mindset. You will be expected to perform opportunity sizing on new business opportunities, build high level business cases to justify your proposals and work closely with Product teams to build out new features and functionalities prior to dealing directly with external partners to negotiate and close deals.
• We are seeking a Senior BI Analyst, to lead strategic and operational initiatives that create both growth and efficiency for the Supply organization. In this role, you will work directly with multiple stakeholders, including executive leadership and various cross-functional departments to successfully implement key initiatives. You will impact Agoda's business through exploring new business opportunities, analyzing complex scaling challenges, and improve existing operations.
• In this Role, you'll get to.
• Translate internal briefs into analytical projects (to include refining the initial brief and asking the 'right questions', working through potential hypotheses and storyboarding the output).
• Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
• Proactively identify opportunities for growth within supply and the wider business.
• Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
• Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
• Automate manual operational processes and present back on time savings gained through modernization of business operations.
• What you'll Need to Succeed.
• 4+ years of experience in analytics/data science/insights/strategy.
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• 3+ years of experience with BI & analytics tools (SQL, Tableau, Metabase or PowerBI).
• Experience in conducting A/B testing experimentation (a plus).
• Experience in Python or R (a plus).
• A good understanding of statistical modelling knowledge or any machine learning technique knowledge is a plus (regression, logistic regression, random forest, etc.
• Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
• Strong experience in finding data insights and provide business recommendation to the business.
• 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.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Data driven in both decision making and performance measurement.
• Extreme comfort in ambiguous, fast-paced environment.
• Ability to multi-task, prioritize and coordinate resources.
• Travel industry / e-commerce / tech / consulting experience.
• LI-SV1.
• 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.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Financial Reporting, Recruitment, YouTube, Jenkins, Python, Hadoop, Scrum, SQL, ETL, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• The Data department oversees all Agoda's data-related requirements. Our goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology.
• We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the Data team plays at Agoda is critical, as business users, product managers, engineers, and many others rely on us to empower their decision making.
• The Opportunity.
• As.
• BI Developer., you will be a key individual contributor in a scrum team dedicated to supporting the B2B entity. You will be responsible for designing, building, and maintaining high-quality data products, dashboards, and scalable data transformations that enable financial reporting, operational analytics, and data-driven decision making across the organization.
• You will work closely with Finance, Planning, Revenue Operations, Data Engineering, Product, and Analytics stakeholders to translate business requirements into trusted and efficient BI solutions. This role requires strong technical expertise, ownership, and the ability to deliver reliable data assets that are discoverable, accurate, performant, and aligned with business and reporting needs.
• In This Role, You'll Get to.
• Design, develop, and maintain dashboards, curated datasets, semantic layers, and data marts to support B2B reporting and analytics.
• Build and maintain ETL/ELT transformations to ensure data is accurate, timely, scalable, and fit for reporting and analytical use cases.
• Translate business requirements into scalable data models and BI solutions that support financial reporting, forecasting, partner operations, and performance tracking.
• Perform data validation, reconciliation, and root cause analysis to identify and resolve issues before they impact downstream consumers.
• Partner with Data Engineering and upstream system owners to understand source systems, data dependencies, and integration logic.
• Optimize queries, data models, and dashboard performance to improve reliability, efficiency, and user experience.
• Experience with large-scale data platforms such as Hadoop, Spark, Impala, Vertica, or similar technologies.
• Maintain clear documentation for business logic, source-to-target mapping, metric definitions, and transformation rules.
• Support self-service analytics by delivering well-structured, trusted, and understandable data assets.
• Participate in sprint planning, solution discussions, design reviews, and delivery activities within the team.
• Troubleshoot production issues and implement sustainable fixes to improve the stability and quality of BI products.
• Contribute to BI development standards, code quality, testing practices, and team ways of working.
• Collaborate with cross-functional stakeholders to align on requirements, clarify logic, and ensure successful delivery.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Analytics, or a related field (or equivalent practical experience).
• 2+ years of experience in Business Intelligence, Analytics Engineering, Data Engineering, or a related data development role.
• Strong SQL skills and solid experience writing efficient, maintainable queries for complex analytical and reporting use cases.
• Hands-on experience building dashboards, datasets, and data transformations using BI and data platform technologies.
• Solid understanding of data modelling concepts for analytics and reporting, including fact/dimension design, grain definition, and reusable semantic structures.
• Experience with ETL/ELT development and orchestration concepts, using tools or scripting languages such as Python, Airflow, or similar technologies.
• Strong understanding of data validation, reconciliation, and quality control practices in production BI environments.
• Ability to work with large datasets and optimize performance through query tuning, partition awareness, and efficient design patterns.
• Experience with large-scale data platforms such as Hadoop, Spark, Impala, Vertica, or similar technologies.
• Good understanding of BI development lifecycle, including requirement gathering, design, development, testing, deployment, and post-release support.
• Ability to independently own medium-to-large scope tasks, break down ambiguous problems, and deliver practical, scalable solutions.
• Strong communication skills in English, with the ability to document clearly and work effectively with cross-functional stakeholders.
• High attention to detail, strong problem-solving skills, and commitment to data accuracy and reliability.
• Experience with Snowflake and familiarity with features such as clustering, materialized views, Time Travel, and performance optimization techniques.
• Experience with Agile/Scrum ways of working and CI/CD practices utilizing technologies such as Git, Jenkins, or Terraform.
• Experience designing BI products that support self-service analytics and strong user adoption.
• Bangkok.
• 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.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Analytical Thinking, SQL, English

ประเภทงาน:

งานประจำ

• Design, develop, and manage SCG's sales statistics databases and sales reporting systems to support performance measurement, KPI tracking, and business monitoring. Provide data insights and analytical support to internal users for planning, analyzing, and evaluating sales programs and customer benefit initiatives, enabling data-driven decision-making across the organization.
• Design, develop, and maintain sales databases, data models, and data structures to ensure data accuracy, consistency, and accessibility.
• Develop, enhance, and maintain standard and ad hoc reports, dashboards, and analytical solutions to support performance monitoring, KPI tracking, and business decision-making.
• Conduct user training and provide support to promote effective data utilization and improve data literacy across the department.
• Manage data access permissions and ensure appropriate governance, security, and compliance in the use of business data.
• Bachelor's degree or higher in Computer Science, Information Systems, Data Science, Statistics, Business Analytics, Engineering, or a related field. (A minimum GPA of 2.70 for the Bachelor's degree).
• Experience in Business Intelligence, Data Analytics, Database Development, Reporting, or related areas is preferred; fresh graduates with strong technical skills are welcome to apply.
• Strong proficiency in SQL and database management, including database design, data modeling, and data warehouse concepts.
• Strong understanding of sales performance metrics, KPIs, and business reporting concepts, with analytical thinking skills and strong business logic.
• Good communication and presentation skills to convey complex information in an easy-to-understand format. Good command of English, both written and spoken, is preferred.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Industrial Engineering, Product Development, Project Management, Market Research, Data Analysis, Power BI, Tableau, Python, SQL

ประเภทงาน:

งานประจำ

• Team Leadership.
• Lead and mentor a team of business analysts, data scientists, and data engineers to ensure the effective delivery of insights and analytics.
• Data Collection and Integration.
• Oversee the collection, integration, and management of data from various sources, ensuring data accuracy and reliability.
• Data Analysis.
• Utilize advanced analytics techniques to extract valuable insights from data, identifying trends, patterns, and opportunities for business improvement.
• Reporting and Visualization.
• Create and maintain interactive dashboards and reports that provide stakeholders with real-time access to key performance indicators (KPIs) and actionable insights.
• Data Governance.
• Establish and enforce data governance policies and standards to maintain data quality, security, and compliance with relevant regulations.
• Strategic Planning.
• Collaborate with senior management to develop data-driven strategies for product development, marketing, sales, and operations.
• Market Research.
• Conduct market research and competitive analysis to identify emerging trends and opportunities in the cosmetics industry.
• Budget Management.
• Manage the department's budget, allocating resources efficiently to support business intelligence initiatives.
• Stakeholder Communication.
• Effectively communicate insights and recommendations to executives and department heads, translating complex data into actionable insights.
• Bachelor's degree in business, data science, statistics, Industrial Engineering, or a related field (master's degree preferred).
• Proven experience (8+ years) in business intelligence, data analysis, or related roles in project management and implementation, with at least 3 years in a leadership capacity.
• Familiar with data analytics tools and technologies (e.g., SQL, Tableau, Power BI, Python).
• Familiar with Project Management tools (e.g., Asana, Microsoft Planner).
• In-depth knowledge of data analytics, data visualization and action plan implementation.
• Excellent problem-solving skills and the ability to think critically.
• Strong communication and presentation skills.
• Experience in the cosmetics industry or a FMCG industry is a plus.
• Familiarity with regulatory requirements related to data privacy and security (e.g., PDPA).
• Location: Head Office Rama9 Soi53.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Power BI

ประเภทงาน:

งานประจำ

• Build and maintain Power BI dashboards and reports.
• Connect to data sources and perform data transformation using Power Query.
• Write DAX measures and calculated columns to meet reporting requirements.
• Work with the Lead to understand business requirements and translate them into visuals.
• Perform data quality checks and validate report outputs against source data.
• Maintain documentation for reports, datasets, and transformation logic.
• Support end-users with dashboard queries and minor fixes.
• Participate in code reviews and apply feedback from the Lead Developer.
• 2-4 years of hands-on Power BI development experience.
• Working knowledge of DAX measures, calculated columns, basic time intelligence.
• Comfortable using Power Query for data shaping and transformation.
• Basic to intermediate SQL skills able to write queries to extract and filter data.
• Able to work independently on assigned tasks without constant supervision.
• Good communication skills able to ask questions and flag blockers clearly.
• Bangkok-based and available for the full 6-month contract.
• Experience connecting Power BI to AWS data sources (S3, Redshift, or Athena).
• Familiarity with ClickHouse as a data source for reporting and dashboards.
• Familiarity with basic data modelling concepts (star schema, relationships).
• Experience in logistics, operations, or supply chain data environments.
• Interest in growing toward a senior or lead BI role.
• Flexible hybrid working arrangement.
• Mentorship from an experienced Lead Developer.
• Clear pathway to permanent conversion based on performance.
• Exposure to AI automation and enterprise data projects.