Data Governance Analyst (m/f/d)

ODDO BHF; Frankfurt; Hybrid; EUR 60.000 - 80.000; Vollzeit

Benefits dieser Stelle

Work-life balance with part-time models

Competitive salary

30 days of holiday plus additional days off

High-performance pension scheme

Employee Assistance Programme

In-house canteen and sports facilities

Zusammenfassung

ODDO BHF in Frankfurt is seeking a qualified data governance professional to shape and enhance data strategies. The ideal candidate will foster data transparency and drive AI initiatives while ensuring compliance and responsibility.

Applicants should possess a Master's degree, strong communication skills, and experience in the financial sector. The role offers a flexible work environment with benefits including competitive salary, 30 days of vacation, and continued education opportunities.

Qualifikationen

• 3–5 years of relevant professional experience with demonstrated ownership and impact.
• Strong interest in the financial and banking sector.
• High level of autonomy and initiative, structured project management skills.
• Fluency in German and English; French is a plus.

Aufgaben

• Ensure data governance to promote trust and discoverability.
• Contribute to AI governance framework development.
• Analyze data systems to strengthen data quality and usage.
• Define governance KPIs and maintain dashboards for management.
• Co-design data governance policies and validate through POCs.
• Translate user needs into actionable requirements.
• Promote best practices and support strategic data transformation initiatives.

Kenntnisse

Data governance

Data analytics

Financial analysis

Change management

SQL

Python

Excel/VBA

Communication skills

Storytelling skills

Ausbildung

Master’s degree in Business Administration, Economics, Business Informatics, or Computer Science

Tools

SQL

Python

Excel/VBA

Snowflake

Databricks

DataGalaxy

Collibra

Microsoft Fabric

Jobbeschreibung

Responsibilities

• Play a key role in shaping Group-wide data governance by ensuring data is trusted, discoverable, and responsibly used across the organization, with a strong focus on the Group Data Catalog (Data Galaxy).
• Contribute to the development of a pragmatic AI governance framework by supporting the definition of roles, principles, and controls that ensure compliant, transparent, and business‑aligned use of AI across the group.
• Strengthen the quality, completeness, and adoption of the Data Catalog by analyzing data systems, governance frameworks, and real business usage in close collaboration with IT and business teams.
• Drive transparency and decision‑making by defining and maintaining governance KPIs, dashboards, and steering materials for management and data governance bodies.
• Co‑design and operationalise Group‑wide data and AI data governance policies, validating concepts through POCs and embedding scalable, sustainable standards into daily practice.
• Act as an early adopter of modern data governance and AI‑related tooling, providing hands‑on feedback to improve reliability, usability, and adoption.
• Translate user needs and feedback into clear, actionable requirements to continuously enhance data accessibility and self‑service capabilities.
• Partner with DPO, IRM, and IT teams to ensure aligned approaches to data accountability, regulatory compliance, and responsible data use for advanced analytics and AI initiatives.
• Serve as a visible ambassador of the Data Office, promoting best practices, supporting strategic data transformation initiatives (e.g., self‑service BI, Data Platform evolution), and guiding teams toward greater data autonomy and maturity.

Qualifications

• Master’s degree in Business Administration, Economics, Business Informatics, Computer Science, or a comparable field.
• Strong interest in the financial and banking sector, ideally supported by relevant professional experience in a complex, regulated environment.
• 3–5 years of relevant professional experience, with demonstrated ownership, impact, and the ability to drive topics independently.
• Experience in one or more of the following areas is an advantage: data governance, data analytics, financial analysis, consulting, or change management.
• High level of autonomy and initiative, with the ability to structure projects end‑to‑end and communicate clear action plans to senior stakeholders.
• Strong communication and storytelling skills, with the ability to simplify complex or technical topics for both business and IT audiences, supported by high‑quality PowerPoint presentations.
• Advanced data handling and analysis skills using SQL, Python or Excel/VBA.
• First‑hands on experience with modern Data Platforms (e.g., Snowflake, Databricks, MS Fabric) is a plus.
• Prior experience working with a data catalog (e.g., DataGalaxy, Collibra, Purview, or similar tools) is a strong advantage and will enable a faster onboarding.
• Strong motivation to create tangible impact through data, with a clear interest in enabling and governing AI and advanced analytics use cases in a responsible and scalable way.
• Fluent in German, both written and spoken, and fluent in English; French is a plus.

Benefits

• Work‑life balance: individualized part‑time models and possibility to work remotely in a flexible way.
• Attractive remuneration: competitive salary, a Deutschlandticket, and capital‑forming benefits.
• Holiday: 30 days of holiday plus an additional 6.5 days of compensatory time off per year / bank holidays on 24 & 31 Dec.
• Company pension: high‑performance company pension scheme.
• International mobility: group‑wide exchange with various mobility options.
• Further education & foreign language support: continued development of skills through training programme and opportunity to attend language courses.
• Health & catering: in‑house canteen, sports facilities, and bicycle programme.
• Programme security: Employee Assistance Programme offering help in professional and personal situations.