RIEDEL Communications is the leading provider of live production tools in the media, sports and entertainment sectors. To cover our customers’ needs holistically, we are divided into three business units: Product Division, Managed Technology & Riedel Networks.
The central Division “Corporate Services” supports our divisions in organization and handling of all transactional processes. Therefore it’s building the economic foundation of the divisions. The Division also makes a significant contribution to the fulfillment of corporate goals by accelerating processes.
Join our Digital Transformation Team as Data Analyst (m/f/d) on this exciting journey and experience the fascination of Riedel Communications in action.

WE OFFER

• Salary benefits as well as 30 days of vacation and numerous benefits such as JobBike, corporate benefits employee discounts, our global employee referral program and a company pension plan
• Life and Work balance through our flexible working time system including mobile working in a hybrid model
• Career booster with numerous individual development and training opportunities
• Diversity is very important to us, at RIEDEL we focus on an open working atmosphere. We are looking forward to getting to know you as you are - far away from pigeonholing
• Diverse offers through meinEAP (e.g. help with childcare, care for relatives, offers for body & soul etc.)
• Our own coffee roast, which can be enjoyed in any form at the free coffee bar

ENRICH OUR TEAM!

With us, you can expect an exciting challenge with plenty of opportunities to take on responsibility and develop personally.
RIEDEL stands for equal opportunities and diversity! We are looking forward to getting to know you as you are - far away from any restrictive labels

• Analyze big data: Collect, process, and analyze large datasets from multiple sources using SQL, Python, R, and other advanced tools.
• Drive data-driven decisions: Develop and implement cutting-edge statistical and AI models to uncover trends and patterns in data.
• Collaborate across teams: Work closely with cross-functional teams and various internal stakeholders to translate your insights into impactful visualizations, reports and presentations.
• Optimize models: Continuously refine and enhance the performance of models to deliver the most accurate predictions.
• Stay up-to-date and ahead: Keep up with the latest advancements in data science and machine learning to ensure we’re always using the best techniques.
• Master data quality: Contribute to maintaining the highest standards of data integrity across the organization