ค้นหาและสำรวจตำแหน่งงาน

T&T Consultant/Senior Consultant - ETP As Service/Operate (SAP Analytics Cloud) - SEA

Deloitte

This role involves providing Application Managed Services (AMS) support, ranging from Level 2 to Level 3, for SAP Analytics Cloud. The consultant will troubleshoot medium to complex production incidents, perform root cause analysis, and implement permanent fixes. Additionally, the role includes leading solution design for enhancements, maintaining documentation, and participating in Continuous Improvement initiatives. The position also requires supporting project teams in delivering solutions and contributing to business development efforts.

T&T Consultant/Senior Consultant - SAP Analytics Cloud/BTP - SEA

Deloitte

Deloitte Southeast Asia is hiring a Consultant/Senior Consultant in Technology & Transformation (Enterprise Technology & Performance) focused on SAP Analytics Cloud and SAP BTP, based in Southeast Asia locations including Kuala Lumpur, Penang, Jakarta, Bangkok, Manila, Hanoi, and Ho Chi Minh City. The role designs, develops, and supports reporting and analytics solutions using SAP Datasphere and SAP Analytics Cloud, builds data models, dashboards, and stories, and integrates Datasphere with SAC. Additional duties include supporting BTP applications, side-by-side extensions, SAPUI5/Fiori apps, and lightweight services or APIs using CAP, SAP Build Code, or SAP Business Application Studio. Candidates need 4-10 years of experience with SAP Analytics Cloud/Datasphere plus BTP exposure, strong hands-on modeling skills, stakeholder communication, and mentoring ability. Willingness to work client hours, rotate for after-hours support, and travel to client sites is required.

[Summer Internship 2027] CEG Data Analytics Intern (Bangkok Based)

Agoda

The CEG Data Analytics Intern joins Agoda’s Customer Experience Group data analytics team in Bangkok for a 10-week summer internship from May 24 to July 30, 2027. The intern supports data-driven insight and strategy for business leaders by analyzing customer and booking data, visualizing results, and working on cost-saving, efficiency, predictive analytics, and A/B testing initiatives. The role involves identifying opportunities to improve Customer Experience Agent productivity and assessing how improved agent performance affects customer satisfaction and loyalty. Applicants must be pursuing a relevant bachelor’s degree, be proficient in SQL and Excel, and demonstrate strong analytical, business, communication, organization, and problem-solving skills. Experience with Python, R, Tableau, VBA, or standard machine-learning techniques is preferred.

AI, Automation & Business Analysis (SPX) - Business Intelligence and Data Analytics - Bangkok

ช้อปปี้

This role develops AI-powered tools, scripts, and automation solutions for Customer Service workflows. It also analyzes operational data and performance metrics to identify trends, root causes, process gaps, and opportunities to improve productivity, contact rate, end-to-end resolution, and customer satisfaction. The successful candidate will collaborate with SOP and CS Operations teams on workflow redesign and evaluate AI adoption and automation opportunities. Qualifications include a bachelor's degree in Computer Science, Business Analytics, Information Systems, or a related field, hands-on coding experience, strong analytical and problem-solving skills, and proficiency with Google Sheets or Excel; SQL experience is advantageous.

Marketing Intelligence & Advanced Analytics Manager

Suntory

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.

AI Project (SPX Express) - Business Intelligence and Data Analytics

ช้อปปี้

Shopee is hiring an AI Operations & Execution Specialist for SPX Express in Bangkok, embedded within logistics operations to deploy and integrate the AI Roadmap. The role builds, wires, and maintains multi-agent AI systems, partners with operations teams to define problems, measure impact and drive adoption, and maintains traceability of AI-assisted decisions. The specialist sets guardrails for automated recommendations and communicates progress and risks to leadership. Requirements include a degree in Computer Science, Data Science, Industrial Engineering, Supply Chain Management, Information Systems or a related quantitative field, with 1–5 years in operations analytics, logistics, supply chain or data/product roles. Candidates need advanced SQL and Python, experience with modern Agentic/LLM frameworks, dashboards and structured data, and exposure to ML or automation projects.

Associate Director - Marketing Monetization & Performance Analytics

ซีพี แอ็กซ์ตร้า (แม็คโคร โปร)

CP Axtra (Makro Pro) is hiring an Associate Director for Marketing Monetization & Performance Analytics in Bangkok. The role develops and executes media and data monetization strategies, negotiates partnerships with data vendors and media partners, and identifies opportunities for marketing product commercialization as additional income that increases sales. The director defines and tracks KPIs for marketing performance, customer acquisition, retention, and ROI; leads in-depth analysis of campaigns, customer segments, and user behavior; and ensures data accuracy, integrity, and security in compliance with regulations. Candidates need a relevant bachelor's degree (master's preferred), 7-10 years of leadership experience, and proficiency in analytics tools such as SQL, Python, R, Tableau, or Power BI.

Department Manager - Pricing and Commercial Analytics (CEO Office)

ซีพี แอ็กซ์ตร้า (แม็คโคร โปร)

This role transforms retail and pricing data into actionable business decisions by building and maintaining pricing intelligence products. The manager validates pricing recommendations and commercial data while partnering with Commercial, Finance, Operations, Data Science, and BI teams to drive measurable improvements in sales, margins, and operational performance. Responsibilities include classifying SKU-level pricing roles, maintaining decision-support tools like the Price Dashboard, and leading ad-hoc analyses across commercial topics. The position requires developing robust analytical models using SQL, BI tools, and Python to support pricing, promotion, and assortment decisions.

Division Manager - Business Data Analytics (CEO Office)

ซีพี แอ็กซ์ตร้า (แม็คโคร โปร)

This role serves as the analytics backbone for the team, bridging data with execution by partnering with retail business teams to identify opportunities and generate actionable insights. The manager will simplify complex data, build analytical models, and translate findings into execution plans that improve business performance. Responsibilities include identifying business opportunities, developing analytical models for sales and operations, enabling faster decision-making through reusable datasets and dashboards, and coaching the team on data-driven practices.