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 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.
YOUR MISSIONDevelop, maintain, and optimize data pipelines, ETL workflows, and automated data processing tasks.
Support day-to-day data operations, including troubleshooting data quality issues, debugging pipeline failures, and resolving system defects.
Collaborate with business and technical teams to improve data governance, validation rules, and data accuracy across systems.
Build and maintain dashboards and reporting solutions using Power BI and other visualization tools.
Perform data cleaning, validation, reconciliation, and root-cause analysis on large datasets.
Bachelor’s or Master’s degree majoring in Computer Science, Data Science, Business Analytics, Statistics, Information Systems, or a related discipline.
Strong programming skills and understanding in Python and SQL for data processing and automation.
Strong analytical thinking, debugging, and problem-solving skills with high attention to detail.
Available to work a minimum of 2 days per week on a part-time basis
Good written and verbal English communication skills.
Self-motivated team player with strong learning ability and interest in data engineering and analytics technologies.
Candidates with relevant internship experience will be an advantage.
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.
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.
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.
Skills Required
- Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or related disciplines
- Proficiency in SQL, Python, Power BI, and Excel
- Strong analytical and problem-solving skills
- Excellent written and spoken English communication skills
- A team player with a positive attitude and a passion for sports
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.
