Senior Data Analyst - Remote-First, 4-Day Week, BI

Cuvva; Greater London; Hybrid; GBP 80,000 - 100,000; Full time

Benefits offered by this job

4 day work week

Flexible remote work

Occasional London office visits

Job summary

Cuvva is hiring a Senior Data Analyst to join the Business Intelligence team. You will work on complex datasets to drive commercial decisions across insurance products, with a focus on performance, pricing and product analytics. The role supports a flexible WFH arrangement with periodic in-person strategy days in London and a 4-day work week.

You’ll engage with Head of Product, measure impact of releases, and collaborate with data science and marketing teams to turn analysis into action.

Qualifications

• 5+ years of experience in data analytics or BI roles.
• Strong SQL and Python; experience with data in insurance or personal lines preferred.
• Ability to turn data into commercial insights.
• Experience with pricing or performance analytics is a plus.

Responsibilities

• Manipulate, analyse and interpret datasets to provide insights and recommendations that help our business make better decisions
• Size opportunities with Head of Product before building them, and measure impact after release
• Design and interpret A/B tests and feature rollouts, with a clear view on what the result means for the product and wider business
• Work with behavioural data using funnel analysis and event tracking to connect app activity with pricing and claims

Skills

SQL

Python

Sagemaker

Jupyter

Looker

Power BI

AWS

Terraform

Tools

Notion

Miro

Figma

Job description

Cuvva is hiring a Senior Data Analyst to join the Business Intelligence team. You will work on complex datasets to drive commercial decisions across insurance products, with a focus on performance, pricing and product analytics. The role supports a flexible WFH arrangement with periodic in-person strategy days in London and a 4-day work week.

You’ll engage with Head of Product, measure impact of releases, and collaborate with data science and marketing teams to turn analysis into action.