Data Analyst

Harnham; Greater London; Remote; GBP 55,000 - 65,000; Full time

Job summary

A customer-centric organization is seeking a Senior Data Analyst to enhance member experience through data-driven insights. The ideal candidate will lead analysis on key metrics such as churn and LTV, design informative experiments, and translate findings into actionable strategies. This role offers a salary of up to £65,000 along with a bonus and equity. The position is fully remote.

Qualifications

• Experience in leading data analysis for member metrics like churn and retention.
• Ability to design experiments and evaluate using tools like Amplitude.
• Strong skills in translating data insights into actionable strategies.

Responsibilities

• Lead analysis of core member metrics focusing on churn, LTV, and retention.
• Design and evaluate experiments to test hypotheses.
• Translate data insights into compelling narratives influencing product decisions.
• Support data enablement across the organization.

Skills

Data analysis

Experiment design

User behavior analysis

Storytelling with data

Job description

Job Description

Senior Data Analyst

Up to £65,000 + bonus+ equity

Fully remote

We’re looking for an experienced Senior Data Analyst to join a product-led, customer-centric organisation. This role focuses on understanding and improving the end-to-end member experience, with a particular emphasis on churn, LTV, retention, and renewal performance.

You’ll work closely with product, analytics and experimentation teams to shape upcoming initiatives. This is not a pure funnel-analysis role — you’ll be connecting user behaviour to long-term customer outcomes, identifying what drives renewal a year down the line, and shaping insights that guide product strategy.

What you’ll be doing

• Leading analysis across core member metrics, including churn, LTV, subscription behaviour, retention and renewal performance
• Designing and evaluating experiments using platforms such as Amplitude
• Working with product data to test and validate hypotheses that relate behaviours to long-term customer outcomes
• Translating data into clear, compelling stories that influence product and commercial decisions

Supporting data enablement across the organisation to help teams become ...