Senior Data Analyst
Salary Finance
| Company | Salary Finance |
| Category | Data & Analytics |
| Location | London |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 10 Mar 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About Salary Finance
Working with employers, we provide a financial wellbeing platform as an employee benefit, helping employees to understand their money better, get out of debt faster and save for their future. We already have a reach of over 4,000,000 employees through our relationships with over 600 of the biggest companies in the UK.
By improving employee financial wellbeing, we have a very real and meaningful impact on people’s lives. We remove the stress and worry associated with financial difficulties by dramatically reducing the interest rates employees pay on their personal debt, and provide them with the tools needed to start saving sooner and be more financially secure. We are backed by some of the biggest brands, including investments from Blenheim Chalcot (the UK’s leading venture builder), Legal and General (the FTSE 100 insurer and asset manager), Experian and funding partnerships with JP Morgan and Blue Owl.
Launched in 2015, we have made excellent progress, and are scaling fast. We are named BITC’s Responsible Business of Year 2018, included in KPMG’s Global Fintech 100, listed top of the Forbes' list of socially-responsible startups, and profiled by the Financial Times, the Times, the Wall Street Journal, the Guardian, the Telegraph, CityAM and the Institute of Directors.
Your role in our mission
We are looking for an exceptional Senior Data Analyst to be a driving force within our Enterprise Data Hub. Reporting to the Lead Enterprise Data Analyst, you will move beyond reactive reporting to become a Performance Engineer for Salary Finance, helping us accelerate our business objectives. You will be responsible for building the "Platinum-rated" datasets that serve as our company's Source of Record, enabling us to safely scale our loan book to £1bn+.
As a senior member of the team, you will be a high-visibility advocate for data excellence. You will work closely with stakeholders across all departments to foster a company-wide culture of data ownership. This is a high-impact role at the heart of our 2026 strategy. You won't just be fulfilling requests; you will be architecting the data framework that allows our Product, Marketing, and Commercial teams to self-serve with absolute confidence building trust throughout the organisation. Your mission is to ensure that the intelligence powering our most critical objectives is governed, trusted, and actionable.
What you’ll do
Architect High-Impact Dashboarding:
You will liaise with stakeholders of all data literacy levels to develop robust dashboard requirements
You will build, design, develop and maintain best-in-class Power BI dashboards which serve a purpose and deliver value to the business
You will define and enact best practice UX/UI design across the dashboards to ensure user engagement in dashboarding
Drive Operational Efficiency
You will lead the automation of manual reporting processes and end-to-end operational workflows, ensuring high uptime and seamless maintenance of production reports.
You will regularly audit existing report performance and SQL scripts to reduce technical debt and improve processing speeds as data demand scales.
Influence Strategic Direction:
You will provide deep-dive analytics and data-driven insights that directly shape long-term business strategy and commercial outcomes.
Champion Data Integrity:
You will act as a custodian of data excellence by implementing and maintaining rigorous data governance standards and documentation across all analytical outputs.
Engineer Data Foundations:
You will build optimised scalable data products and robust data marts, creating a structured environment for self-service analytics.
You will collaborate with Enterprise Data Engineers to refine ETL/ELT pipelines, ensuring the upstream data architecture supports downstream analytical requirements.
Leadership & Collaboration:
You will act as a data & analy