Job Description
At Olympus, we are committed to our purpose of making people's lives healthier, safer and more fulfilling. As a global medical technology company, we partner with healthcare professionals to provide best-in-class solutions and services for early detection, diagnosis and minimally invasive treatment, aiming to improve patient outcomes by elevating the standard of care in targeted disease states.
For more than 100 years, Olympus has pursued a goal of contributing to society by producing products designed with the purpose of delivering optimal outcomes for its customers around the world.
Within the Olympus Corporation, Olympus Surgical Technologies Europe (OSTE) is the global competence center for development, production and repair services for rigid endoscopy, bipolar high-frequency surgery and reprocessing. With a total workforce of about 3,600 employees at 14 locations in EMEA and its headquarters in Hamburg, the company stands for exceptional performance in medical technology and therapy and offers a full range of the most modern endoscopic applications from single products to procedure-oriented system solutions.
We are seeking an experienced Business & Data Analyst to support operational areas and management within the Medical Repair Services division of Olympus. You will play a key role in developing our Business Intelligence (BI) platform and system landscape, helping to drive performance, efficiency and cost improvements.
Your Key Responsibilities:
- Prepare and analyze data for operational teams and management within Medical Repair Services
- Develop and optimize the BI platform and system landscape
- Analyze business requirements and source systems to generate reports, dashboards and insights
- Collaborate with international, cross-functional teams to identify issues and recommend solutions.
- Support performance, cost and efficiency improvements in medical repair services
- Leverage advanced analytics to enhance service operations
- Implement data-driven countermeasures for operational inefficiencies
- Ensure data accuracy and quality in reporting
- Degree in industrial engineering, business administration or a related field
- Long-standing experience as Data Analyst and working in advanced analytics and financial management of service operations
- Expertise with Microsoft Power BI and Power BI Stack
- Basic knowledge of SQL, R or Python desirable
- Fluent in English, both written and spoken
- Strong collaboration skills and experience to work with cross-functional teams and stakeholders
- 30 days of annual leave
- Up to 60% mobile work possible and flexible work time model with overtime compensation
- Holiday and Christmas bonuses
- Corporate benefits discounts for employees
- Comprehensive company pension scheme and capital-forming benefits
- Company restaurant with live cooking and healthy food (subsidized)
- Employee Assistance Program of FamPLUS to support your health, mental and emotional well-being
- Subsidy for public transportation (Deutschlandticket), free parking spaces and bike or car leasing
- Various subsidized company sports groups and access to the inhouse company gym