- Assist in the development and maintenance of ETL pipelines to support daily data operations.
- Collaborate on data validation, governance, and quality initiatives to enhance the reliability and efficiency of data flows.
- Support and maintain automated data systems; troubleshoot issues and resolve system defects promptly.
- Contribute to the documentation of data processes and create clear, user-friendly manuals and operational guides.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or a related field.
- Proficient in programming/scripting languages such as Python and SQL.
- Familiarity with data visualization tools such as Power BI or Tableau.
- Strong analytical thinking, problem-solving ability, and a high level of attention to detail.
- Excellent written and verbal communication skills in English.
- Self-motivated, proactive, and responsible with a strong willingness to learn.
- A collaborative team player with a positive attitude — and a passion for sports is a strong plus!
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What We Do
At PUMA, we are in constant pursuit of faster. That extends beyond our support of the fastest athletes in the world. We also work to be fast in how we adapt to and connect with the constantly changing world around us. Through innovative design, iconic footwear and apparel, and authentic partnerships, we aim to always push what’s next in both sport and culture. That hustler’s spirit can be felt across PUMA categories, partnerships, offices, and countries. And we are always in search of talent that can help us set the pace at which sport and culture collide, as well as finding better ways to connect and collaborate with our communities.
PUMA supports over 14,000 employees across 120+ countries. The PUMA Group owns the brand PUMA, Cobra Golf and stichd, and is headquartered in Herzogenaurach, Germany.