Data Analyst

Job Summary

We are a fintech company looking for a Data Analyst to help turn data into clear, actionable insights. You will work with colleagues across product, operations, finance & risk to understand business performance, improve reporting and support informed decisions.

This role suits someone early in their data career, preferably with up to three years of relevant professional experience, who has practical experience with the AWS stack, Google Analytics, and Tableau, strong analytical skills and an interest in financial technology.

Responsibilities

• Extract, clean and analyse data from multiple sources using SQL and AWS services.
• Build and maintain Tableau dashboards and reports that make business performance easy to understand.
• Track key metrics across customer activity, transactions, product usage and operational performance.
• Identify trends, investigate anomalies and communicate findings clearly.
• Identify refunds and chargebacks, validate cases and automate processes for reporting and disputing in third party payment services.
• Check data quality, investigate discrepancies and help improve reporting accuracy.
• Work with business stakeholders to understand their reporting needs and translate them into analysis.
• Support the automation of recurring reports and document data definitions and processes.
• Handle sensitive business and customer data responsibly, following company policies.

Essential requirements

• Hands-on experience with the AWS data stack, including services such as Amazon S3, Athena, Redshift or AWS Glue.
• Practical experience using Tableau to build dashboards, visualise data and communicate insights.
• Good Python and SQL skills, including joins, aggregations and data validation.
• Strong Excel or Google Sheets skills.
• Good numerical reasoning, attention to detail and a structured approach to solving problems.
• Ability to explain findings clearly to colleagues with different levels of technical knowledge.
• A relevant bachelor's degree, equivalent qualification and demonstrable practical experience in data analysis.

Experience

• Previous professional experience in data analysis, reporting, business intelligence or a related role, ideally up to three years.
• Familiarity with financial services, payments or fintech products.
• Understanding of data pipelines, data modelling and basic statistical methods.
• Familiarity with Git or other version control tools.

Pay: Up to £35,000.00 per year

Ability to commute/relocate:

• Cambridge CB2 1GE: reliably commute or plan to relocate before starting work (preferred)

Work authorisation:

• United Kingdom (preferred)

Work Location: In person