Decathlon Hiring! Full Time Data Analyst in Federal Territory - Ricebowl

Who we are

At Decathlon, we live our common purpose daily: “to make the pleasure and benefits of sport accessible to the many.” In over 70 countries where we are present, we share a strong and unique company culture, reinforced by our four values: Vitality, Responsibility, Authenticity, and Generosity.

In Malaysia, we are building projects that improve lives through sport. We place innovation and technology at the heart of our activities, from research to retail, including design, production, and logistics. Decathlon currently has over 30 physical stores in Malaysia, a Decathlon app, a presence on online marketplaces, and more ecosystem initiatives to come in the near future!

As a Data Analyst, you will work closely with business stakeholders to deliver data-driven insights to support strategic decisions. You will be part of a data team in APAC, while being connected within a larger international network of 300+ data practitioners.

Main Responsibilities

• Business Partnership: Be a thought partner for the business to define, challenge, and frame high-value business problems and translate them into data analysis requests and projects
• End-to-end Execution: Drive the end-to-end execution of small and large data requests, data automation, analysis and dashboarding projects, from definition over technical implementation to presentation
• Solution Design: Design and implement data solutions, including automated tools, interactive dashboards etc.
• Project Management: Provide on regular project- and data request-management tasks
• Data Culture: Champion data democratization across the company by contributing to our global Decathlon data community and actively enabling business partners to leverage self-service analytics
  
  

Must Have

• Experience: 1 - 2 years of prior experience in data analytical roles, with a demonstrated track record of delivering data analytics solutions with clear, measurable business impact.
• Education: Bachelor’s or Master’s degree in Statistics, Data Analytics, Data Science, Computer Science, Business Analytics, Mathematics, or related fields.
• Technical Skills: Essential capability to query using SQL and proficiency in Python programming language, with the ability to write modular, well-documented, and scalable code.
• Data Visualization: Dashboarding, visualization, and storytelling skills.
• Core Capabilities: Strong communication and conceptual problem-solving skills, with a relentless business focus and drive for impact.
• AI Exposure: Understanding and early hands-on exposure to Generative AI tools, including prompt engineering, AI-assisted coding, and insight generation.
  
  

Nice To Have

• Experience with BI tools such as Tableau or PowerBI.
• Experience with cloud data platforms and services (e.g., Databricks, AWS).
• Experience in Data Modeling & Analytics Engineering (e.g., dbt).
• Experience in DevOps and workflow tools like Git, GitHub Actions, and Airflow.
  
  

Who Are We Looking For?

• Sport Enthusiast: Sportive and actively practicing a sport!
• Ownership Mindset: Highly responsible self-starter with a strong sense of ownership and a drive to solve business problems in the retail industry.
• Comfortable with Ambiguity: Willingness to work on a wide range of topics not only confined to traditional data analysis (e.g., data pipelines, machine learning, data product management, web scraping, data quality checks, and data trainings).
• Collaborative Team Player: Able to learn independently and work as a team player who enjoys collaborating in an open, cross-functional environment with people from different levels, backgrounds, and experiences.
• Detail-Oriented: Reliable with high standards and sharp attention to detail.