Senior Lead Data Analyst - Hybrid/Remote, AI Tools

LGBT Jobs

Greater London

Hybrid

GBP 90,000 - 120,000

Full time

41 hours ago
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Benefits offered by this job

Pension contributions up to 7%
Training budget of £1,000 per year
Study leave with encouragement to use
Enhanced maternity & paternity
Travel season ticket loan
London event access and Private Lounge

Job summary

Policy Expert is seeking a Lead Data Analyst to shape analytics strategy and delivery across Home, Motor and Pet insurance in London. You will be part of the analytics leadership team, working with two analysts and peers to drive measurable business impact.

You’ll balance hands-on data work (60–70%) with coaching, setting data standards, building reusable workflows, and guiding stakeholders on data-driven decisions. Expect a hybrid London role with strong tooling and AI adoption.

Qualifications

  • Significant experience in data analysis (5+ years).
  • SQL proficiency with a cloud data warehouse (GCP or similar).
  • Hands-on AI tool experience (Claude/ChatGPT).
  • Enjoys collaborating with business teams to understand needs.
  • Experience coaching/mentoring analysts; insurance domain or BI tools bonus.

Responsibilities

  • Partner with business teams on projects with real commercial impact.
  • Connect partners with data needs and our data platform.
  • Help set coding, review and data-sharing standards.
  • Build reusable workflows and tools for the team.
  • Leverage AI tools carefully and ensure result accuracy.
  • Manage and coach two analysts to deliver meaningful work.

Skills

Data analysis
SQL
AI tools usage
Mentoring
Insurance domain knowledge

Tools

Power BI
dbt
Python
Claude
ChatGPT
GCP

Job description

Policy Expert is seeking a Lead Data Analyst to shape analytics strategy and delivery across Home, Motor and Pet insurance in London. You will be part of the analytics leadership team, working with two analysts and peers to drive measurable business impact.

You’ll balance hands-on data work (60–70%) with coaching, setting data standards, building reusable workflows, and guiding stakeholders on data-driven decisions. Expect a hybrid London role with strong tooling and AI adoption.

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