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About the Role

We are looking for a talented Enterprise Data Analyst to join our Enterprise Data Hub. Reporting to the Lead Enterprise Data Analyst, you will help translate business questions into trusted data products and Power BI dashboards, supporting Salary Finance's mission to help our customers get out of debt faster and save for their future. You'll work alongside senior analysts, engineers and stakeholders across the business building the datasets, reports, and insights that inform decisions and enable safe growth of our loan book. This is a role where you'll grow your craft, contribute to team standards, and see the impact of your work reach real customers.

Responsibilities

Liaise with stakeholders of all data literacy levels to develop robust dashboard requirements
Build, design, develop and maintain best-in-class Power BI dashboards which serve a purpose and deliver value to the business
Help the automation of manual reporting processes and end-to-end operational workflows, ensuring high uptime and seamless maintenance of production reports
Regularly audit existing report performance and SQL scripts to reduce technical debt and improve processing speeds as data demand scales
Follow the team's data governance standards and contribute to documentation across your analytical outputs
Build optimised scalable data products and robust data marts, creating a structured environment for self-service analytics
Collaborate with Enterprise Data Engineers to refine ETL/ELT pipelines, ensuring the upstream data architecture supports downstream analytical requirements

Requirements

At least 3+ years of experience in data analytics, business intelligence, or similar roles, with a demonstrable history of progressing from technical execution to strategic delivery
Advanced level proficiency in writing, optimising, and debugging complex queries
Comfortable handling large-scale datasets and understanding relational database architecture
Advanced command of the Power BI ecosystem
Create sophisticated DAX measures and perform complex data modeling to solve intricate business logic
Proven ability to act as a bridge between technical data and business needs
Translate "vague requests" into concrete technical requirements
Present findings to executives with confidence
Possess a "so what?" mindset
Track record of moving beyond descriptive reporting to deliver predictive insights that drive measurable commercial value
Comfortable using LLMs (e.g., Claude, Gemini) to accelerate your workflow, whether for logic verification, documentation, or streamlining code development
Experience in financial services or a similar regulated industry (e.g., FinTech, banking)
Well-versed in prompt engineering techniques to optimise data cleaning, generate SQL scripts, or automate metadata documentation
Ability to use Python for data manipulation (Pandas/NumPy), automation scripts, or basic statistical modeling to augment standard BI toolsets
Practical experience establishing data dictionaries, lineage, and quality protocols to ensure a "single source of truth"
Experience building time-series forecasts or predictive models to help the business anticipate trends, demand, or churn
Experience in peer-reviewing code (SQL/DAX) and coaching junior analysts to uphold high standards of accuracy, performance, and design

Skills

SQL
Power BI
DAX
LLM
Prompt Engineering
Python
Pandas
NumPy

Location

Hybrid

Work Type

Hybrid working arrangements

Experience Level

3+ years of experience in data analytics, business intelligence, or similar roles

Benefits

Company bonus scheme
25 days holiday with an additional day off for every year of service up to 30 days
Extra day off on your birthday
Hybrid working arrangements with a budget to help you get set up
Generous company benefits to include pension and life assurance
Annual allowance to spend on medical insurance, health cash plan, denplan, gym memberships
Enhanced policies that are family and pet friendly
Company sick pay
Peternity leave
Great career development in a fast paced environment
Volunteer days as part of our CSR program
Regular company socials
Weekly snacks
Tuckshop
Cycle to work
Help to save

About the Company

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.

Equal Opportunity

Salary Finance is proud to be an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive work environment where all employees and applicants can flourish.
If there’s anything we can do to accommodate your specific situation, please let us know.