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Zopa is a fintech company founded in 2005 as the first peer-to-peer lending platform, now operating as Zopa Bank with a mission to redefine banking by putting customers first. The company has been recognized as one of the UK's Most Loved Workplaces.
This Senior BI Analyst role supports either the Fraud & Financial Crime or Collections & Recoveries teams, focusing on building reliable analytics infrastructure and self-serve reporting to drive operational and risk decision-making.
Key Responsibilities:
- Design, build, and maintain dashboards using Tableau or similar BI tools
- Use SQL to explore data, build structured datasets, and deliver repeatable analysis
- Partner with stakeholders to understand business problems and translate them into practical analytical solutions
- Define, document, and maintain clear, trusted metrics
- Deliver recurring management information and self-serve reporting supporting operational and risk decisions
- Work with Analytics Engineering to design and improve core data models, including modernizing stored-procedure logic into maintainable transformations
- Improve data quality, reporting standards, and the usability of analytics products
- Support performance monitoring across operational or risk-focused domains
The role is hybrid, requiring 2-3 days per week in the London office, with flexibility to work abroad up to 120 days annually (subject to work authorization). Zopa values face-to-face collaboration balanced with work-life balance.
Requirements:
- Experience in a BI, analytics, or reporting role with a track record of creating reliable production datasets, scalable reporting, and self-serve insight
- Strong SQL skills and confidence working with large, complex datasets
- Experience with a BI tool such as Tableau, Looker, or Power BI
- Experience with data modeling or dbt, including building robust pipelines and maintaining clear documentation
- Strong analytical judgment, attention to detail, and focus on data accuracy
- Ability to take ambiguous business needs and work productively with technical and non-technical stakeholders to turn them into practical data products
- Clear communication skills; ability to constructively challenge and explain complex data concepts to non-technical stakeholders
- Organized, curious approach to problem-solving and managing priorities
- Python experience beneficial but not essential
Helpful Experience:
- For Collections & Recoveries: experience analyzing credit, operational, or customer performance metrics
- For Fraud & Financial Crime: interest in fraud prevention or financial crime risk; experience in financial services, risk, fraud, or financial crime (helpful but not essential)
