Head of Analytics

Harnham
London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
£100,000 - £120,000
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Information Engineering Python (Programming Language) Machine Learning Power BI SQL Databases Data Strategy Data Analytics

Job description

As the Head of Analytics, you will take ownership of a business-aligned analytics function, working closely with senior insurance stakeholders to identify opportunities where data, analytics and AI can deliver meaningful operational improvements. Reporting directly to the Chief Data Officer, you will act as a strategic partner to the wider business, bringing specialist insurance knowledge alongside an understanding of how modern analytics and AI can transform traditional insurance processes. Your focus will be on translating complex underwriting and claims challenges into practical data and AI solutions, helping the organisation improve decision-making, operational efficiency and overall business performance., * Analytics Strategy: Define and deliver the analytics roadmap, ensuring initiatives are aligned with wider business priorities and deliver measurable value.

  • Claims & Underwriting: Work closely with specialist insurance teams to understand operational challenges and identify opportunities to improve processes through data and analytics.
  • AI & Innovation: Identify opportunities to leverage AI, machine learning and automation to transform traditional insurance operations.
  • Business Transformation: Help move the organisation away from manual, legacy processes towards more intelligent, automated and data-driven ways of working.
  • Stakeholder Management: Build relationships with senior claims and underwriting stakeholders, translating business requirements into actionable analytical solutions.
  • Team Leadership: Lead and develop a specialist analytics team, working collaboratively with wider Data Engineering, Data Science and AI functions.
  • Commercial Impact: Ensure analytics initiatives deliver tangible improvements across operational performance, efficiency and business outcomes.

Requirements

  • Proven experience working within the insurance industry is essential.
  • Strong understanding of specialist insurance, ideally across claims, underwriting or reinsurance.
  • Experience leading analytics, data or business intelligence teams within an insurance environment.
  • A strong understanding of how data and analytics can improve insurance operations and decision-making.
  • Experience identifying opportunities to leverage AI, machine learning and automation to solve business problems
  • Excellent stakeholder management skills, with the ability to engage senior insurance professionals and translate complex business challenges into analytical solutions.
  • A commercially minded approach, with the ability to balance strategic thinking with practical delivery.

This is a great opportunity for someone who understands the intricacies of the insurance value chain and can bring that expertise into a modern Data & Analytics environment., * Analytical Thinking

  • Communication Skills
  • Data Analysis
  • Decision-Making Skills
  • Financial Knowledge
  • Power BI
  • Python Programming
  • SQL Databases
  • Stakeholder Management
  • Team Management

Benefits & conditions

  • £100,000-£120,000
  • Bonus

About the company

A leading global specialty insurance and reinsurance organisation is investing heavily in its Data & Analytics capabilities, with a clear ambition to use AI and advanced analytics to transform the way it operates. Operating across complex international insurance markets, the business is focused on moving beyond traditional processes and embedding data-driven decision-making across its core insurance functions. With Data & Analytics now firmly at the centre of its strategic agenda, the organisation is looking to bring in experienced insurance specialists who can bridge the gap between business operations, analytics and emerging AI capabilities.

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