Data & Analytics Manager

Company : Ips Group

Job Type : Full Time

London

Number of Applicants

000+

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Job Description - Data & Analytics Manager

The Company
A well-established and specialist commercial insurer operating across domestic and international markets. The organisation offers a comprehensive portfolio of innovative risk solutions and services to businesses of all sizes, with a strong emphasis on data-driven decision-making and digital transformation.

The Role
This position will lead the development and delivery of enterprise-wide data solutions. The role combines technical leadership, stakeholder engagement, and hands-on execution to support business growth and operational excellence through advanced analytics and data strategy.

Key Responsibilities

Develop and lead the execution of data and analytics strategies aligned to wider business objectives.
Design and deploy advanced analytical models and dashboards to extract insights, forecast trends, and inform strategic decision-making.
Collaborate with functions including Underwriting, Claims, Actuarial, and IT to integrate data solutions into day-to-day operations.
Provide data expertise and support to transformation initiatives, ensuring alignment with digital innovation programmes.
Manage and mentor a hybrid team of data analysts, engineers, and specialists across both onshore and offshore locations.
Coordinate task prioritisation, resource allocation, and delivery timelines in collaboration with the Business Insights team.
Oversee project tracking using JIRA, ensure up-to-date documentation in Confluence, and guide robust code and solution design.
Lead the design and maintenance of data models, ETL processes, and visualisation tools (e.g. SSIS, Tableau, SSRS).
Support and align with global reporting programmes to ensure consistency and compliance with international standards.
Maintain high standards of code quality, readability, and maintainability, following clean code principles and modular architecture.
Oversee the development and deployment of data pipelines, APIs, and machine learning models in coordination with DevOps teams.
Define and embed best practices for data warehousing and Lakehouse architecture (e.g. Medallion).
Standardise data development, modelling, and metadata management across the enterprise.
Implement lineage tracking and orchestration tools to improve transparency and governance.
Conduct code reviews, testing, and documentation to ensure quality and robustness of analytics outputs.
Take ownership of incident resolution and lead root cause analysis to ensure sustainable remediation.
Enforce best practices for change control, release management, rollback planning, and deployment testing.
Maintain high levels of internal client satisfaction by ensuring deliverables meet service level expectations.
Ensure audit readiness through documentation, access control, and data lineage practices in line with regulatory standards.
Manage third-party vendors and technology partners providing analytics tools or support services.
Undertake additional responsibilities as required to support the broader data strategy.

Skills, Knowledge & Abilities

Essential:

Strong understanding of enterprise data management and governance principles.
Proven experience delivering Business Intelligence (BI) solutions and dashboards to enable data-driven decisions.
Experience designing relational and dimensional data models (e.g. star schema, snowflake, etc.).
Proficient in ETL and data warehousing, including handling slowly changing dimensions.
Excellent communication and interpersonal skills, with the ability to liaise confidently between technical and non-technical stakeholders.
Demonstrated ability to influence and engage across business functions and with external partners.
Strong analytical thinking and a methodical approach to problem-solving.
Skilled at managing multiple workstreams and priorities effectively.

Technical Expertise:

Advanced knowledge of Microsoft BI tools (SSIS, SSRS).
Strong SQL Server skills, including query optimisation and performance tuning.
Familiarity with scheduling and orchestration tools (e.g. Control-M).
Hands-on experience with Google Cloud tools such as BigQuery, Composer, and VertexAI.
Proficient in Python for data manipulation and modelling.
Strong skills in data visualisation using Tableau

Desirable:

Background in insurance or financial services, with exposure to industry-specific metrics (KPIs/KRIs).
Familiarity with insurance data models and reporting frameworks.
Experience using Alteryx for data preparation and workflow automation.

Original job Data & Analytics Manager posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.

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Data & Analytics Manager

Job Description - Data & Analytics Manager

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