Sr. Data Governance Analyst

What you will contribute

Finastra’s Global Data Office is responsible for the strategy, governance, and enablement of data assets across 130+ countries globally to unlock innovation for our business units and 8000+ customers, including 90% of the world’s top banks. Reporting to the Global Head of Data Governance, this position will play a key role on the Enterprise Data Governance team, supporting the implementation and ongoing development of data governance initiatives across Finastra. It involves both business and technical responsibilities, with an emphasis on assisting in the development, configuration, and maintenance of Finastra’s enterprise data governance systems. The purpose is to maintain the security, accessibility, quality, usability, and integrity of critical data assets. The successful candidate will support the Global Data Office in advancing Finastra’s data governance strategies and solutions aimed at enhancing the technical infrastructure that underpins our governance framework. This team will help drive a global transformation Finastra’s data governance program, which will not only meet and exceed security, regulatory and compliance requirements, but also accelerate innovation in the development of data, analytic and AI products, unlocking new opportunities for monetization.

Responsibilities & Deliverables

• Analyze complex datasets to identify trends, patterns, and insights that support strategic decision-making across business units.
• Collaborate with stakeholders to gather and document business requirements for data-driven initiatives and reporting needs.
• Develop and maintain dashboards, reports, and visualizations using tools like Power BI, Tableau, or Excel.
• Translate business questions into analytical problems and deliver actionable insights through data storytelling.
• Support data quality assessments and contribute to data governance efforts by identifying inconsistencies and recommending improvements.
• Assist in the design and validation of data models and data flows to ensure accurate and timely reporting.
• Work closely with data engineers and data scientists to ensure data availability, integrity, and usability.
• Monitor key performance indicators (KPIs) and provide regular updates to business and technical teams.

Required Skills & Experience

Qualifications