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Head of Data Analytics and Insights

Job in Liverpool, Merseyside, L1, England, UK
Listing for: Ashdown Group
Full Time position
Listed on 2026-10-22
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below

We are currently recruiting for a newly-created Head of Data Analytics & Insights position on behalf of a dynamic and customer-focused Claims Management company based in Central Liverpool. The role holder will be responsible for owning and continuously evolving the organisation’s data and analytics capability, ensuring that data is actively monitored, critically interpreted, challenged, and translated into clear, decision-ready insight for senior leadership and the Board.

This role plays a critical part in enabling the business to reduce claim handling times, improve settlement accuracy, control costs, identify risk and fraud, and enhance customer experience, while ensuring insight-led decisions are embedded across all operational and strategic functions. The Head of Data Analytics & Insights will manage 2 x Data Analysts and 2 x BI Developers.

This new role is 100% onsite in the company’s offices in Central Liverpool for the first 2-4 weeks with a view to becoming hybrid thereafter. The role is paying £80,000-£100,000 DOE plus benefits.

Required Qualifications
  • Degree in data Analytics, Statistics, Computer Science, Economics, or a related field
  • 10+ years of experience in data analytics, business intelligence, or insights roles
  • 5+ years in a senior leadership or people management role
  • Strong experience with BI tools (e.g., Power BI, Tableau, Looker) and analytics platforms
  • Proven ability to influence executive stakeholders with data-driven insights
  • Strong business acumen and ability to translate analytics into commercial impact
Preferred Skills & Experience
  • Experience building analytics functions from the ground up
  • Knowledge of advanced analytics, data science, and AI/ML concepts
  • Experience working with cloud data platforms (e.g., Azure, AWS, GCP)
  • Strong storytelling and data visualisation skills
  • Excellent communication, leadership, and change-management capabilities
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