Data & Analytics Manager

We are looking for a Data and Analytics Manager to join our London office.

Position Summary

As a Data and Analytics Manager (Development) you will lead the development and execution of data solutions. This role blends leadership, technical execution, and business alignment – delivering value across the enterprise through data-driven transformation.

Key Responsibilities

• Oversee the development and execution of enterprise-wide data analytics strategies that align with business objectives, driving innovation and efficiency.   
• Lead the design and deployment of sophisticated analytical models and dashboards to uncover insights, predict trends and inform decision-making across the organisation.
• Work closely and in collaboration with Underwriting, Claims, Actuarial, and IT teams to integrate analytics into core business functions, enhancing overall performance.
• Collaborate and provide strategic data support to enterprise-wide transformation initiatives, ensuring alignment with business objectives and digital innovation goals.
• Lead and coach a hybrid team of data and analytics specialist and data engineers distributed across onshore and offshore locations.
• Responsible for work estimation and resource allocation aligned with prioritisation from the Business Insights group to support timely and effective project delivery.
• Manage JIRA project tracking, maintain confluence documentation and oversee code design to support efficient development processes and team collaboration.
• Oversee technical designs for data models, ETL and visualization tools (like SSIS, Tableau, SSRS)
• Support global reporting initiatives driven through the US data and analytics programs, ensuring consistency, compliance, and alignment with international business priorities.
• Ensure that all the analytical code and data pipelines adhere to best practices for readability, maintainability and efficiency using clean code principles and modular design.
• Oversee the design and implementation of data pipelines, APIs and model deployment infrastructure in collaboration with DevOps teams to ensure reliable and efficient deployments.
• Define and implement best practices in data modeling e.g. Warehousing and Lakehouse integration (Medallion Architecture)
• Collaborate and lead efforts in defining, designing, and standardizing data development and metadata management practices to ensure consistency and quality in technical architecture.
• Oversee metadata management, lineage tracking and orchestration tools.
• Ensures quality of reporting solutions by performing code review, creating documentation, and completing unit and integration testing.
• Own technical resolutions following incidents and lead the root cause analysis to ensure long term issue remediation.
• Establish and enforce best practices for change control, rollback strategies, and testing to ensure stable production deployments.
• Ensures customer satisfaction through meeting established development and service level standards.
• Ensure audit readiness through documentation, lineage, and access control protocols to comply with all applicable legal and regulatory requirements appropriate to the position.
• Manage relationships with external vendors and technology partners delivering analytics services and solutions.
• May perform additional duties as assigned.

Skills, Knowledge & Abilities

Essential:

• Deep understanding of structured data management and enterprise best practices.
• Proven track record in implementing Business Intelligence (BI) solutions and supporting operational dashboards to drive data-informed decision-making.
• Experience with both normalized, star and multidimensional schema design.
• Understanding of ETL processes and data warehousing concepts, including handling slowly changing dimensions.
• Excellent interpersonal and communication skills, enabling effective collaboration with business stakeholders, technical teams, consultants, and vendor partners.
• Proven ability to articulate analytical and technical concepts to non-technical audiences, fostering stakeholder buy-in.
• Strong analytical and problem-solving skills with attention to detail.
• Skilled in managing multiple priorities, with the ability to effectively prioritize tasks.
• Technical
  • Excellent knowledge of Microsoft Business Intelligence (SSIS, SSRS)
  • Proficient in SQL Server with hands-on experience in SQL data querying and optimization Control-M scheduling.
  • Google Platform Composer, BigQuery and VertexAI
  • Tableau experience
  • Python programming

Desirable:

• Insurance background with knowledge of industry reporting and KPI’s / KRI’s.
• Knowledge and experience of finance and insurance data models.
• Alteryx

Company Description

Company Overview

CNA Hardy is a leading specialist commercial insurance provider for clients within the Lloyd’s and company markets. We are part of CNA Financial Corp, the 8th largest U.S. commercial property and casualty insurance company. Established in 1897, CNA has approximately 7,000 employees, serving businesses and professionals in the U.S., Canada and Europe. We offer a wide range of products and services, providing a superior suite of insurance solutions that any organisation conducting business requires.

CNA Hardy is an equal opportunity employer.

The Company

CNA Hardy is a leading specialist commercial insurance provider for clients within the Lloyd’s and company markets. We offer a highly specialised and comprehensive portfolio of innovative and market leading products. Coverage is available to businesses of all sizes for domestic, international and global exposures.