Senior Enterprise Data Analyst

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 circa 4,000,000 employees through our relationships with over 500 of the largest employers 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.

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+.

What you’ll do:

• 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.
• 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.
• You will provide deep-dive analytics and data-driven insights that directly shape long-term business strategy and commercial outcomes.
• You will act as a custodian of data excellence by implementing and maintaining rigorous data governance standards and documentation across all analytical outputs.
• 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.
• You will act as a data & analytics mentor across the business and lead training sessions for business users to increase self-service adoption and data-driven decision-making.
• You will lead the code-review process for SQL and DAX to ensure team-wide adherence to logic accuracy and performance standards.

About you:

• Proven Track Record: At least 5+ years of experience in data analytics, business intelligence, or similar roles, with a demonstrable history of progressing from technical execution to strategic delivery.
• Advanced SQL Mastery: Expert-level proficiency in writing, optimising, and debugging complex queries.
• Power BI & DAX Specialist: Advanced command of the Power BI ecosystem.
• Strategic Stakeholder Management: A proven ability to act as a bridge between technical data and business needs.
• Insight Delivery & Storytelling: You possess a "so what?" mindset.
• LLM Literate: You are comfortable using LLMs (e.g., Claude, Gemini) to accelerate your workflow.
• Technical Mentorship: Experience in peer‑reviewing code (SQL/DAX) and coaching junior analysts.

Nice to have:

• Experience in financial services or a similar regulated industry (e.g., FinTech, banking).
• Prompt Engineering for Data: You are well‑versed in prompt engineering techniques.
• Python for Analytics: Ability to use Python for data manipulation.
• Data Governance Frameworks: Practical experience establishing data dictionaries, lineage, and quality protocols.
• Forecasting & Predictive Modeling: Experience building time‑series forecasts or predictive models.

Who you are:

• Fearless, and able to make the impossible possible.
• Responsible, and want to help build a business that delivers a meaningful difference to society.
• Dedicated and want to commit to an exciting journey even through the highs and lows.
• Empathetic and truly care about every colleague and customer.
• United, because you understand we achieve more when we work as a team.
• Humble, and take feedback as a way to continuously improve.

What do you get for all your hard work?

• 25 days holiday with an additional day off for every year of service up to 30 days and an extra day off on your birthday.
• Hybrid working arrangements so you can work from the office and from home with a budget to help you get set up.
• Generous company benefits to include pension and life assurance and an annual allowance to spend on medical insurance, health cash plan, denplan, gym memberships.
• Enhanced policies that are family and pet friendly, to include company sick pay and peternity leave.
• Great career development in a fast paced environment.
• Regular company socials.
• Volunteer days as part of our CSR program.
• More great perks to include weekly snacks, tuckshop, cycle to work, help to save and much more!

The typical interview process:

• Introductory call with our Talent Manager (phone call - 20 mins).
• 1st Stage: Technical interview (PowerBI exercise) with Hiring Manager and team (video call - 60 mins).
• 2nd Stage: Past work experience and culture interview with Hiring Manager and team (in person - 60 mins).

We’re looking for people that will get stuck in and make a difference. We have a great collaborative, entrepreneurial team and are passionate about what we do. If you want to join a team that is changing people’s lives for the better then we’d love to hear from you.

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.