Product Data Analyst
Hybrid (London)Full-timePosted 1w ago
About the role
Data Analyst role focused on turning transaction data into reliable analytics, owning metrics, models and dashboards to support decision-making in Murphy AI’s banking data platform.
Responsibilities
- Own the numbers. Define the KPIs every team runs on, and ensure consistent calculations across the organization.
- Build the source of truth. Write data models and dashboards from raw call, debt and payment data to answers people trust.
- Automate invoicing. Create a pipeline that handles billing in multiple banks and currencies automatically.
- Prove what works. Design and analyze experiments to demonstrate lift in recovery.
- Dive deep and problem solve. Identify root causes of anomalies and fix at the source.
Qualifications
- STEM degree, top of class.
- Highly analytical and precise; demonstrated ability to build metrics and models used in business operations.
- Fluent in SQL and Python.
- Ownership mindset; results-driven and capable of influencing decisions through data.
Skills
Required:SQLPython
Benefits
- Fair equity with enormous upside potential.
- Salary at the top of the benchmark.
- Real ownership — Murphy's numbers are yours to define and defend.
- Small team, high autonomy, and outsized impact.
- Direct attention from the founding team; opportunity in a large $300B+ industry.
- Hybrid & Flexible: default is hybrid (3 days a week in the office).
Last updated Oct 14, 2026. Interested? Apply on the company site.

About Murphy
Murphy | AI Collections for Banks, Fintechs and Utilities
Take back control of your debt collections. Murphy delivers compliant, scalable debt recovery through agentic AI, engineered for enterprise.
AIAI EthicAgentic collectionsAuditsAutomationBanksCollectionsCompliance
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