Health Insurance Data Insights Analyst

2136GB00 Howden UK Brokers Limited

England

Hybrid

GBP 42,000 - 64,000

Full time

5 days ago
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Benefits offered by this job

Hybrid working
Flexible hours

Job summary

Howden UK&I is seeking a Data Insights Analyst to join the Data Science & Analytics team. You will analyse customer behaviour, market performance, and operational trends, developing reporting solutions that enable strategic decisions.

A focus on health insurance data will complement broader data initiatives across the business. You will partner with Product Managers, BI, Data Science, and Data Engineering to turn complex data into actionable insights, supporting growth and improved outcomes in a

Qualifications

  • Proven experience applying statistical and analytical techniques to generate insights.
  • Experience developing reports and dashboards using Power BI or similar BI tools.
  • Strong SQL skills for extracting, manipulating, and analysing large datasets.
  • Excellent communication and stakeholder-management skills.
  • Keen interest in insurance products and how data supports underwriting, pricing, and performance.

Responsibilities

  • Develop, maintain, and enhance reporting solutions and data visualisations for stakeholders.
  • Identify trends, risks, opportunities, and driving KPIs to support decisions.
  • Ensure data accuracy through validation, cleansing, and quality monitoring.
  • Build strong stakeholder relationships and gather requirements.
  • Present findings and recommendations in a clear, measurable form.

Skills

Power BI
SQL
Python
R
Data visualization
Stakeholder management
Statistical analysis

Education

Quantitative degree

Tools

Databricks
Azure DevOps

Job description

Howden UK&I is seeking a Data Insights Analyst to join the Data Science & Analytics team. You will analyse customer behaviour, market performance, and operational trends, developing reporting solutions that enable strategic decisions.

A focus on health insurance data will complement broader data initiatives across the business. You will partner with Product Managers, BI, Data Science, and Data Engineering to turn complex data into actionable insights, supporting growth and improved outcomes in a

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