The Marketing Intelligence & Advanced Analytics Manager at Suntory Beverage & Food leads data-driven business and customer growth across multiple markets. The role develops business intelligence, advanced analytics, data modelling, and actionable insights across CRM, customer, commercial, e-commerce, and digital performance, translating complex data into KPIs, analytical frameworks, dashboards, models, and strategic recommendations. The position partners with Marketing, CRM, E-commerce, Digital, Commercial, Data, and IT teams to ensure effective use of data and continuous improvement of analytics capabilities, data quality, and measurement standards. Key focus areas include MMM, incrementality, attribution, media effectiveness, pricing/promotion analysis, predictive modelling, and e-commerce/digital analytics across marketplaces, Brand.com, and social commerce.
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Accenture is hiring a SAP Datasphere Consultant in Bangkok to design, implement, and enhance data and analytics solutions using SAP Datasphere and SAP BTP Datasphere. The role involves collaborating with business stakeholders and technical teams to translate business needs into functional specifications, optimize data models and reporting, and troubleshoot solution issues. The position requires a bachelor's degree in IT, Computer Science, Engineering, Business Information Systems, or a related field, expert proficiency in SAP Datasphere and SAP BTP Datasphere, and at least 2 years of experience in SAP data and analytics or data warehousing. Strong analytical, communication, and stakeholder management skills are essential.
Agoda is hiring a Data Analyst to join the Global Service Verticals (GSV) Data Analytics team in Bangkok. The role delivers action-oriented analyses and recommendations to stakeholders, owning analytical projects from problem definition through data extraction, statistical analysis, and communicating findings to operational, marketing, product, and partner services teams. Typical projects include predictive modeling, customer segmentation, and dashboard design. The position is open to freshers up to four years of relevant experience. Candidates need a relevant bachelor's degree, SQL proficiency, expert Excel skills, strong problem-solving ability, business sense, and fluent English. Experience with R or Python and visualization tools such as Tableau is a plus. Relocation support is provided for international hires.
The Workplace Manager leads workplace and facilities operations for a client site, overseeing service delivery against SLAs, applicable laws, safety, compliance, and performance metrics. The role manages preventive maintenance, technology platforms, operational SOPs, client reporting, data analysis, workplace experience, and continuous improvement. The manager also leads the site team, supports client engagement and stakeholder relationships, develops feedback initiatives, and manages vendors, events, conference rooms, and service requests. Qualifications include a bachelor’s degree or above, at least three years of relevant hospitality, facilities, property management, operations, or commercial real estate experience, and at least one year in a managerial role.
The Listing Supervisor leads listing operations for Shopee in Bangkok, overseeing Quality Assurance, appeals management, and category/taxonomy management to ensure product data complies with marketplace policies. The role manages a team of QA analysts and operations specialists, owning KPIs such as QA accuracy, appeal SLA turnaround, and category mapping precision, while acting as the bridge between Operations and cross-functional partners (Product, Tech, Legal, Customer Support, Commercial). The position requires 1-3 years of experience in e-commerce operations, listing quality, content moderation, QA, or platform governance, with a Bachelor's degree in Business Administration, Data Analytics, or a related field. Candidates need advanced Excel/Google Sheets skills, mid-level SQL proficiency, strong analytical abilities, good English communication, and proven team leadership and project management capabilities.
Senior Product Owner role at CP Axtra (makro-pro) leading the Oracle Fusion Finance product. The position owns the roadmap and backlog, defines functional solutions across GL, AP, AR, Fixed Assets, Procurement, Cash Management and related finance modules, and translates business needs into requirements, user stories and acceptance criteria. The role partners with Finance, Risk and Compliance, Technology and vendors to protect financial controls, manage dependencies, coordinate testing and releases, resolve production issues, and continuously improve the product. Candidates need a bachelor’s degree and at least 5 years of ERP finance implementation, product ownership, functional consulting or application management experience, including significant Oracle Fusion Finance work. Strong functional knowledge of GL, AP and AR, understanding of financial close and controls, and ability to discuss APIs, FBDI, OIC, BI Publisher and SQL with technical teams are required. Retail, wholesale or high-volume transaction experience is a plus.
Data Analyst role within the Data Analytics team of the Investment Solutions Department at Kiatnakin Phatra Securities Public Company Limited, a leading onshore wealth manager. The position supports wealth management by collecting and interpreting data, designing the data environment, generating insights for management decisions, preparing reports and presentations, and acting as a data steward. The role collaborates with other departments and external vendors to define requirements and ensure delivered solutions meet business needs. The role requires a Bachelor's or Master's degree in Computer Science, Computer Engineering, Applied Statistics, or a related field, with 3-5 years of experience as a data or business analyst. Candidates should have experience with large data sets and relational databases, knowledge of data visualization tools such as Power BI or Tableau, and working knowledge of programming languages such as SQL, Python, R, or Java.
Data Analyst role within the Data Analytics team of the Investment Solutions Department at Kiatnakin Phatra Securities, supporting wealth management with over 600 billion baht in client assets under advisory. The position collects and interprets statistical information, designs the data environment, and produces reports and presentations to help management make decisions, while acting as a data steward and coordinating with other departments on reporting and solution requirements. The role requires a Bachelor's or Master's degree in Computer Science, Computer Engineering, Applied Statistics, or a related field, plus 3-5 years of experience as a data or business analyst. Candidates should have experience with large data sets and relational databases, familiarity with data visualization tools such as Power BI or Tableau, and working knowledge of programming languages such as SQL, Python, R, or Java.
The Analytics role sits within the Digital & Technology division of KKP (Kiatnakin Phatra Bank) in Bangkok. The position focuses on identifying customer acquisition opportunities, optimizing lead generation, and developing cross-sell/upsell strategies through data-driven insights. Responsibilities include campaign performance analysis, A/B testing, dashboard development, regulatory reporting automation, datamart design, and translating business challenges into analytical solutions. Candidates should have 0 to 3 years of experience in Business Intelligence or Data Analytics, preferably within marketing or customer acquisition. Required skills include Python, PySpark, and SQL for large-scale data processing, along with hands-on experience in A/B testing, campaign optimization, dashboard tools (Power BI, Tableau, Databricks), and datamart deployment. A solid understanding of the financial industry is expected.
Data Analyst role at Kiatnakin Phatra Bank Public Company Limited (kkp) in Bangkok, within the Digital & Technology division. The position focuses on identifying customer acquisition opportunities, analyzing campaign performance, designing A/B tests, building dashboards, automating regulatory reports, and deploying datamarts to support marketing and sales teams. Candidates should have 0-3 years of experience in BI or data analytics, proficiency in Python, PySpark, and SQL, and hands-on experience with marketing analytics, dashboard tools, and datamart deployment. Strong analytical, communication, and cross-functional collaboration skills are required, along with familiarity with the financial industry.