Finance Senior Data Analyst Manager (f/m/d)

Your main purpose

Collaborate with the DMO (Data Management Office) and IT: Work closely with the DMO and IT departments to ensure the Data Warehouse remains comprehensive and up to date. Regularly assess and integrate new data sources that could provide valuable insights.

Data Quality and Governance: Oversee data governance initiatives, ensuring the quality, accuracy, and reliability of all datasets available for analytics and reporting.

Automate Financial Reporting: Develop and refine automated data workflows and financial reporting systems within Microsoft Power BI, prioritizing scalability and efficiency.

Data Modeling and Engineering: Create and maintain data models that support complex financial analytics and enable seamless integration across different data sources.

Technical Leadership: Mentor and manage a team of data analysts and junior engineers, providing guidance on best practices in data engineering, analytics tools, and technical troubleshooting.

Cross-Functional Collaboration: Act as a liaison between the finance, IT, and operational teams, ensuring data solutions meet cross-departmental requirements and drive business performance.

Data Insights and Analysis Support: Support the finance and operational teams by providing clean datasets for ad-hoc analysis, helping derive actionable business insights from financial and operational data.

What will you bring?

Education: Bachelor's or Master's Degree in Data Engineering, Computer Science, Data Analytics, or a related discipline.

Proven Leadership Experience: Demonstrated experience in a data leadership role, with a strong track record of building and managing a team of data analysts, particularly in the context of finance and business intelligence.

Team Building and Development: Ability to recruit, train, and mentor a high-performing team of data analysts, fostering a collaborative and growth-focused environment that enhances the organization's data analytics capabilities.

Deep Knowledge of Data Management and Governance: Strong understanding of data management principles, including data governance, compliance, and best practices for maintaining data integrity.

Technical Expertise in Data Architecture and Analytics: Proficiency in data architecture, business intelligence tools, and data analytics techniques, with a focus on tools like Microsoft Power BI.

Strategic Vision: Capable of aligning data initiatives with broader business objectives, developing long-term strategies to optimize data processes and drive business insights.

Strong Communication Skills: Excellent communication and interpersonal skills, capable of conveying complex data concepts to both technical and non-technical stakeholders across the organization.