Data Analyst

• Produce clear analysis using SQL and Python, with support from senior team members on approach and structure
• Investigate performance trends to identify opportunities to improve the panel of insurance partners
• Use advanced statistical models to evaluate the impact of strategic initiatives on pricing and panel performance
• Work with Commercial and Product teams to deliver insights shaping pricing and product decisions
• Use AI tools, including Claude, to enhance delivery while checking outputs and applying judgment
• Share knowledge and ideas with the team and build analytical best practices

Requirements

• Some experience working with data, whether through study, a placement, or a previous role
• Experience or interest in insurance or financial services
• Foundation in SQL and Python
• Interest in developing skills with data visualisation tools
• Curiosity about analytical or statistical techniques and willingness to learn on the job
• Good communication skills and interest in translating data into a clear story
• Comfort using AI tools as part of the workflow and habit of checking outputs
• Collaborative mindset and eagerness to learn from others

Core Competencies

Proficient in SQL and Python for data analysis, with a strong foundation in statistical techniques and a collaborative approach to delivering insights in the insurance and financial services sectors. Demonstrates effective communication skills to translate complex data into actionable narratives.

Highest-signal resume keywords

• SQL
• Python
• Statistical Modeling
• Data Visualization
• AI Tools

ATS Optimization Keywords

Hard Skills

• SQL
• Python
• Statistical Modeling
• Data Analysis
• Data Visualization

Soft Skills

• Good Communication Skills
• Collaborative Mindset
• Curiosity
• Eagerness to Learn

Industry Keywords

• Insurance
• Financial Services

Tools & Technologies

• AI Tools
• Claude