We are recruiting an experienced Data Lead to manage a team of three analysts supporting a major funds data programme within financial services. The role will oversee data analysis, Power BI dashboard development and analytical reporting across large, multi-source datasets, ensuring complex information is translated into clear business insight and supports data-driven decision-making.

Role responsibilities

• Lead and manage a team of three analysts delivering data analysis, dashboard development and reporting activities.
• Oversee the development and refinement of Power BI and Tableau dashboards, management information and analytical outputs.
• Analyse complex financial services datasets, including holdings, transactions, legal entities and regulatory reporting data.
• Guide the creation of integrated views of firms and entities using information from multiple data sources.
• Ensure analysis identifies relevant trends, concentrations, anomalies and potential risks.
• Improve data quality through validation, controls, data enrichment and ongoing assurance activities.
• Engage senior stakeholders to understand requirements, gather feedback and prioritise team activity.

We are recruiting an experienced Data Lead to manage a team of three analysts supporting a major funds data programme within financial services. The role will oversee data analysis, Power BI dashboard development and analytical reporting across large, multi-source datasets, ensuring complex information is translated into clear business insight and supports data-driven decision-making.

Role responsibilities

• Lead and manage a team of three analysts delivering data analysis, dashboard development and reporting activities.
• Oversee the development and refinement of Power BI and Tableau dashboards, management information and analytical outputs.
• Analyse complex financial services datasets, including holdings, transactions, legal entities and regulatory reporting data.
• Guide the creation of integrated views of firms and entities using information from multiple data sources.
• Ensure analysis identifies relevant trends, concentrations, anomalies and potential risks.
• Improve data quality through validation, controls, data enrichment and ongoing assurance activities.
• Engage senior stakeholders to understand requirements, gather feedback and prioritise team activity.