Contact IR

If you have any questions about the PUMA share and the financial results of PUMA SE, our Investor Relations team will be happy to help you. Please be aware that we will not reply to questions relating to non-Investor Relations topics.

Mail Phone

Information Systems / IT / Business Solutions, Selangor, Malaysia

Data Analyst SEAO

SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and BE YOU to let our individual talent and experience shine. Applying for a job at PUMA is easy. Simply click APPLY ONLINE and follow the steps to upload your application.

At PUMA, every application is reviewed by real people who are committed to fairness, transparency, and equal opportunity - no matter your background, identity, or experience. To ensure our process stays true to these values, no automated systems or AI tools are used to make hiring decisions. Every decision is made by real people -with real judgment and accountability. We may use functions supported by Artificial Intelligence (AI) to carry out isolated organizational steps, such as scheduling interviews. These functions have no influence on decisions in the application process. We believe in creating spaces where everyone is welcome, celebrated, and empowered to contribute authentically. Because at PUMA, whoever wants to play, can play.

Your mission

This position is responsible for supporting the Head of Strategy to shape key business decisions and the growth strategy by transforming raw data into clear, actionable insights. You will collaborate cross functionally with teams such as Finance, Operations, Sales, Marketing and Merchandising, helping to ensure decisions are informed by accurate, relevant and timely data. This role blends analytical problem-solving with strategic thinking — ideal for someone early in their career who is eager to work at the intersection of data and business.

Task 1: Collect, clean, and analyze large and complex datasets to uncover trends, identify opportunities, and support strategic initiative across all business topics such as – sales performance, customer behavior, inventory efficiency, market trend, etc.

Task 2: Partner with cross-functional teams to gather requirements, understand business needs, and support data-driven decision-making across the organization.

Task 3: Support the development of data models and frameworks that support forecasting, scenario planning, and decision-making.

Task 4: Support the development and maintenance of dashboards, scorecards, and KPIs to monitor business performance, track progress against goals, and identify areas for optimization.

Task 5: Prepare data-led presentations and communicate findings to the management team for decision making.

Your talent

Education: Bachelor's degree in Data Science, Business Analytics or relevant studies.

Professional: 1-2 years working experience in the Data Analytics field. Preferably, candidates from the retail or wholesale background.

IT Skills: Proficient in Excel and SQL for data cleaning, analysis and reporting; Power BI; Professional in DAX (using DAX studio, Tabular Editor, Power BI); Basic knowledge in SAP; Basic knowledge in API; Proficient in Microsoft Excel and Macro

English Skills: English and Local Language

Our principles

PUMA provides equal opportunities for all job applicants, regardless of race, color, religion, national origin, sex, gender identity or expression, sexual orientation, age, or disability. Equality for all is one of the core principles at PUMA and we do not tolerate any form of harassment or discrimination.

PUMA is a global sports brand creating footwear, apparel, and accessories that inspire athletes and everyday movers. The PUMA Group owns PUMA, Cobra Golf, and stichd, operates in 120+ countries, and has around 22,000 employees worldwide.

Want to join our team?

PUMA Southeast Asia

South East Asia

There's so much to do and so much to see in South East Asia – like PUMA SEA