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.
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This role involves designing and maintaining interactive dashboards and data models to support business strategy. The manager will collaborate with cross-functional teams to deliver BI solutions and partner with engineers to ensure data integrity. Responsibilities include mentoring team members, optimizing DAX and SQL scripts, and participating in Agile ceremonies to drive continuous improvement.
The Department Manager, Business Intelligence Center (PM & Analysis) drives commercial performance and enterprise transformation through data-backed insights and business modelling. The role involves working with cross-functional teams to bridge the gap between analytics and action, enabling smarter decisions. Key duties include analyzing complex data sets to identify trends, supporting category and pricing strategies, and building business cases for new initiatives. The manager will also collaborate on transformation projects, map current-state processes, and establish robust analytical frameworks to deliver executive-ready insights.
This role is a member of the customer team responsible for generating insights for business decision-making. The position involves owning reports and dashboards, acting as the main interlocutor between data analysts and stakeholders, and working closely with business teams to analyze activities. The role requires proactively deep-diving into data to improve understanding of customer behaviors and opportunities. Additionally, the manager will collaborate with stakeholders to generate customer initiatives for acquisition, retention, and win-back strategies, including hypothesis testing and rollout.
CP Axtra (Makro) is hiring a Technology Portfolio & PMO Manager for its Wholesale Technology Strategy function in Bangkok. The role provides end-to-end visibility and governance across technology initiatives, consolidating project progress, risks, dependencies, resource needs, investments, and business outcomes to support management decisions and execution. Key duties include tracking milestones, risks, and dependencies across Technology, Product, AI, Business, and Operations teams; preparing portfolio reports, dashboards, and executive updates; supporting portfolio planning, budgeting, and investment decisions; managing demand and resource capacity; tracking KPIs and realised business value; and governing strategic vendors. Candidates need strong PMO or portfolio management experience, Agile and Jira knowledge, dashboarding skills (Excel, Power BI), AI tool proficiency, and Thai/English communication. Thai nationality and onsite work at Makro Head Office are required.
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.
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.
This role is ideal for someone who enjoys combining business understanding with strong technical and analytical skills. The Data Analyst will work closely with business stakeholders, product teams, and data engineers to transform complex data into meaningful insights and scalable BI solutions. Responsibilities include designing dashboards and reports, translating business requirements into scalable reporting, analyzing complex datasets to identify trends and opportunities, and building data models. The analyst will also partner with Data Engineers to ensure data quality and present findings to stakeholders.
This role focuses on consulting for Japanese companies in Southeast Asia regarding digital transformation, specifically utilizing AI and data. The position involves transitioning clients from simple data visualization to complex analytics and applying AI across the entire value chain. Responsibilities include high-level strategy formulation, solution implementation, managed services, and training. The role requires leading mixed teams of local and Japanese Client Services members to manage projects and support client development.
This role focuses on workforce fulfillment metrics. The Data Analyst will maintain and enhance performance dashboards to provide actionable insights. Responsibilities include managing and improving databases to ensure data integrity and scalability. The position requires analyzing workforce data to identify trends and support decision-making for operational improvements.