Senior Data Business Analyst - Join us in shaping the future of data at ERG at ERGO

Stockholm, Capital Region of Denmark, Sweden -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

02 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Data Quality, Data Governance, Power BI, Power Query, Stakeholder Management, Analytical Thinking, Documentation, Collaboration, Data Profiling, Metadata Management, Insurance Data, Curiosity, Proactive Approach, Detail-Oriented, Conceptual Thinking

Industry

Insurance

Description

Do you enjoy creating clarity in complex data landscapes? We are looking for a Senior Data Business Analyst to help strengthen our enterprise data foundation across the insurance value chain. This is a unique opportunity to join at the early stages of a major data transformation initiative, where you will play a key role in implementing a new data platform, modern governance practices, and advanced tools for data quality and understanding. About the Role As a Data Business Analyst, you will report to Head of Data and your main responsibilities will include: Ensure business data—covering products, policies, claims, customers, and financials—is logically structured and aligned to business domains. Maintain clear definitions and documentation for entities, attributes, and fields. Collaborate with data owners and process experts to harmonize terminology and resolve inconsistencies. Define and monitor data quality metrics (accuracy, completeness, timeliness, consistency). Drive initiatives to improve data quality across domains. Contribute to the business glossary, metadata catalog, and governance framework. (Optional) Perform hands-on data exploration and profiling using Power BI, Power Query, or AI-assisted tools. About you Preferably a Master’s degree in Information Management, Data Analytics, Actuarial Science, Engineering, Mathematics, or Natural Sciences. Strong analytical and conceptual thinking skills. Excellent communication and stakeholder management abilities. Ability to translate business processes into clear data definitions. Proactive and detail-oriented approach to improving data quality. Collaborative mindset and passion for cross-functional work. Curiosity about data structures, systems, and their impact on business outcomes. Technical Skills Experience with Power BI, Excel, and Power Query for data analysis and profiling. Understanding of data management, data quality, or governance principles. Familiarity with insurance data domains (policy, claim, product, customer). (Optional but valued) Exposure to AI-assisted schema analysis, basic scripting (e.g., Python), or metadata tools. What we offer Be part of a strategic transformation that will redefine how data is organized and governed across the business. Work in a dynamic, collaborative environment with a strong focus on innovation and quality. Flexible location: Copenhagen preferred, but Oslo, Stockholm, or nearshore candidates are welcome. How to Apply For more information, please contact: Jesper Rotvig Jensen, HR Business Partner – jesper.rotvig@ergo.dk Please upload your motivation letter, CV, and relevant diplomas as soon as possible and no later than January 2. We will review applications and conduct interviews on an ongoing basis. About ERGO Forsikring ERGO Forsikring A/S is a leading insurance company in the Nordic region, formed through the merger of Europæiske Rejseforsikring A/S and ERGO Forsikring AS. The company focuses on health and travel insurance in Denmark, Norway, and Sweden. ERGO Forsikring A/S is part of ERGO Group AG—one of the leading German and international insurance groups and the main primary insurance company within Munich Re.

Responsibilities

As a Senior Data Business Analyst, you will ensure that business data is logically structured and aligned to business domains while maintaining clear definitions and documentation. You will also collaborate with data owners to harmonize terminology and drive initiatives to improve data quality across domains.