Data Analyst Intern I 6 MONTHS I DEC/JAN - JUN 2027

Who we are 🏌🏾‍♂️🚴🏻🤸🏻‍♀️

At Decathlon, our purpose is "Move People through the Wonders of Sport". Our Singapore and APAC data teams enable the business to make better decisions across areas such as customer growth, commercial performance, ecommerce, operations, supply, and expansion. 

If you are looking for an internship where you want your work to be trusted, used and deliver meaningful business outcomes, then this role is for you. 

About the Role 🏃

As our Data Analyst Intern, you will work closely with local and regional stakeholders across multiple business verticals to deliver data-driven insights that translate to tangible business outcomes. You’ll be part of a full-stack APAC data team, while being connected to an international network of 300+ data practitioners globally.

We believe that the best learning comes from ownership, so interns here are trusted with meaningful responsibilities early. We will calibrate the scope to your experience and provide regular coaching and feedback. In return we expect you to have strong ownership, ask good questions, act on feedback, communicate blockers early and take responsibility for moving your work forward. 

Internship Details 🚀

• Duration: 6 months full time only
• Start Date: Dec 2026 / Jan 2027 - Jun 2027
• Work arrangement: Hybrid / onsite (Singapore office)
• Business immersion: One week store induction
• Conversion Opportunity: Potential conversion to full-time employment subjected to performance and business needs

What you will do ᯓ⚽️

• Partner with local and regional business leaders to understand the business context, frame the right analytical question and define what success looks like
• Explore, clean and analyse data using SQL, Python, dbt, and other appropriate tools
• Analyse business performance to identify important drivers, patterns, opportunities and root causes
• Design clean Tableau dashboards and automate tracking tools that stakeholders actually use to make daily decisions
• Communicate your findings directly to business leaders and iterate based on feedback
• Apply good analytical practices through documentation, version control, peer review, and data quality checks
• Communicate progress, risks, trade-offs, and blockers openly with your project leader and team

Requirements

Essential requirements

• Currently pursuing a Bachelor’s Degree in Business Analytics, Data Science & Analytics, Statistics, Computer Science or other related fields
• Able to commit to a six-month full-time internship
• Solid foundation in SQL & Python - You are comfortable writing multi-join queries, perform data aggregations and analyze data comfortably. 
• Evidence that you can learn and deliver through schoolwork, previous internships, competitions or personal projects
• Curious about how business operates, why the work matters and how your analysis changes a decision
• Ability to translate technical findings into plain English for non-technical stakeholders
• Pays attention to data quality and is willing to question assumptions rather than accept results at face value

Nice to have:

• Hands-on experience with Tableau or another business intelligence tool.
• Familiarity with data modelling, dbt, Git, or cloud data platforms such as Databricks.
• Exposure to statistical analysis, experimentation, or forecasting.
• Experience using AI productivity tools thoughtfully while validating the outputs they generate.
• Interest or practical experience with LLM APIs or simple agent workflows that solve real business problems.

Beyond technical foundations, you are someone who:

• Brings vitality to the team: approach unfamiliar problems with energy and curiosity, takes initiative and helps maintain momentum when work becomes difficult
• Takes responsibility for commitments and communicate risks or blockers early
• Works openly and authentically, including asking for help when something is unclear
• Collaborates generously by sharing knowledge, supporting teammates, and being receptive to feedback
• Is comfortable with ambiguity and can turn an unclear problem into practical next steps
• Values pragmatic problem-solving over unnecessary technical complexity
• Enjoy sports, or be open to discovering new sports with your team!

Please note that only shortlisted candidates will be contacted.

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