Data & Analytics Manager
£90,000 + Bonus + Benefits
Hybrid: 3 Days Onsite, London
Gravitas is proud to be partnering with a leading international specialty commercial insurance organisation to recruit a Data & Analytics Manager. This is a senior, high-impact role at the heart of an enterprise-wide data and analytics transformation.
The role offers a blend of technical leadership, delivery oversight, and strategic business partnership, with responsibility for shaping how data and analytics drive decision-making across underwriting, claims, actuarial and corporate functions.
The Role
As the Data & Analytics Manager, you will lead the development and execution of advanced data and analytics solutions that deliver measurable business value. You will oversee architectural design, guide technical delivery, and lead a globally distributed team of data professionals, while staying close to the detail to ensure best practices are consistently applied.
This position operates on a hybrid basis, with three days per week onsite in London.
Key Responsibilities
- Lead the development and execution of enterprise-wide data and analytics initiatives aligned to strategic business objectives
- Design and deploy advanced analytical models, dashboards and reporting solutions to uncover insights and inform decision-making
- Partner closely with Underwriting, Claims, Actuarial, IT and Business Insights teams to embed analytics into core business processes
- Provide strategic data leadership for enterprise and digital transformation initiatives
- Lead, coach and manage a hybrid team of data engineers and analytics specialists across onshore and offshore locations
- Own work estimation, prioritisation and resource planning aligned to business demand
- Oversee delivery governance including JIRA tracking, Confluence documentation and technical design standards
- Lead technical designs across data models, ETL processes and visualisation solutions (SSIS, Tableau, SSRS)
- Support global reporting initiatives aligned with US-led data and analytics programmes
- Enforce clean code principles, modular design and best practices across all analytics and data pipelines
- Collaborate with DevOps teams on data pipelines, APIs and model deployment infrastructure
- Define and implement best-practice data modelling approaches including data warehousing and lakehouse architectures
- Lead metadata management, lineage tracking and orchestration strategy
- Ensure reporting quality through code reviews, documentation and robust testing
- Own incident resolution, root cause analysis and long-term remediation
- Maintain audit readiness through appropriate documentation, lineage and access control
- Manage relationships with third-party analytics and technology partners
Skills, Knowledge & Experience
Essential
- Strong experience in enterprise data management and analytics best practices
- Proven delivery of BI platforms and operational reporting solutions
- Experience designing normalized, star schema and multidimensional data models
- Strong understanding of ETL processes, data warehousing and slowly changing dimensions
- Excellent stakeholder engagement and communication skills
- Ability to articulate technical and analytical concepts to non-technical audiences
- Strong analytical mindset with excellent attention to detail
- Proven ability to manage priorities in a complex, delivery-focused environment
Technical
- Microsoft BI stack: SSIS, SSRS
- SQL Server (advanced querying and optimisation)
- Google Cloud Platform (Composer, BigQuery, Vertex AI)
Desirable
- Background in insurance with knowledge of industry KPIs / KRIs
- Experience with financial and insurance data models
Package & Location
- Bonus: Performance-related
- Benefits: Comprehensive benefits package
- Working Model: Hybrid – 3 days per week onsite in London