Your talent
- Bachelor’s degree in Data Science, Data Analytics, Computer Science, Information Systems, or a related field.
- At least 2-4 years of experience in data analytics or a similar role.
- Proficiency in Python, SQL and familiarity with ETL tools (e.g. dbt, Azure Data Factory).
- Understanding of CI/CD practices and tools (e.g., Git, Jenkins).
- Proficiency on containerization techniques (e.g. Docker, K8s).
- Experience with Power BI, including data modelling and dashboard creation.
- Strong analytical and problem-solving skills.
- Good communication and teamwork abilities.
- Familiarity with Agile methodologies and project tracking tools.
- Candidate with more experience will be considered as Senior Executive Data Analytics.
Your mission
- Assist in the development and maintenance of ETL pipelines to ensure reliable data flow across systems.
- Monitor data workflows and troubleshoot issues to maintain data integrity and performance.
- Collaborate with data engineers and analysts to integrate new data sources and improve existing pipelines.
- Document data processes and contribute to operational best practices.
- Maintain and update Power BI dashboards to reflect current business metrics and KPIs.
- Ensure data accuracy and consistency in dashboards through regular validation.
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.