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Senior Data Analyst - Insurance

Apex Assurance Solutions
London
Salary Estimate
GBP 45.000 – GBP 65.000
Latest
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Are you a data-driven professional passionate about the insurance industry?

Apex Assurance Solutions is expanding its analytics team and seeking a Senior Data Analyst to join our London office. In this pivotal role, you will leverage advanced statistical techniques to drive underwriting decisions, assess risk, and optimize our product portfolio. If you excel at turning complex data into actionable business intelligence, we want to hear from you.

Why Join Us?

  • Competitive salary package (£45k - £65k).
  • Hybrid working model with flexible hours.
  • Opportunity to work with cutting-edge insurance tech stack.
  • Clear pathway to leadership within the analytics division.

Responsibilities

  • Conduct Deep-Dive Analytics: Utilize SQL, Python, and R to analyze large datasets, identifying key trends in claim frequency and severity.
  • Predictive Modeling: Develop and maintain statistical models to forecast future risk and support pricing strategies.
  • Stakeholder Collaboration: Partner with underwriters and actuaries to translate complex data findings into clear, strategic recommendations.
  • Data Governance: Ensure data quality, integrity, and compliance with GDPR and industry regulatory standards.
  • Visualizations: Create compelling dashboards and reports using tools like Tableau or PowerBI to communicate insights to non-technical audiences.
  • Process Improvement: Identify bottlenecks in data processing workflows and implement automation solutions to improve efficiency.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Actuarial Science, Economics, or a related field.
  • Experience: Minimum of 3-5 years of experience in data analysis, preferably within the insurance or financial services sector.
  • Technical Skills: Proficiency in SQL (advanced queries) and programming languages such as Python or R.
  • Tools: Strong experience with data visualization tools (e.g., Tableau, PowerBI) and Excel (VBA/Advanced functions).
  • Communication: Excellent verbal and written communication skills with the ability to present technical data to senior management.
  • Regulatory Knowledge: Understanding of insurance terminology, underwriting processes, and regulatory frameworks (FCA/Prudential Regulation Authority).

Required Skills

SQL Python R Data Analysis Actuarial Science Risk Management Tableau PowerBI Excel Statistics

Ready to Take on This Challenge?

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