Enterprise Data Analyst

Salary Finance; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

25 days holiday

Hybrid working arrangements

Generous company benefits

Enhanced policies

Great career development

Volunteer days

Regular company socials

Job summary

Salary Finance is seeking a talented Enterprise Data Analyst to join our Enterprise Data Hub in a hybrid London role. You will translate business questions into trusted data products and Power BI dashboards, collaborating with engineers, analysts and stakeholders to inform decisions and enable safe growth of our loan book.

With 3+ years in data analytics, you will craft robust dashboards, optimise ETL/ELT pipelines, and present findings to executives.

Qualifications

• 3+ years of experience in data analytics, BI, or related roles with progression from technical to strategic delivery.
• Advanced SQL proficiency in writing, debugging, and optimizing complex queries.
• Expertise with the Power BI ecosystem; ability to create sophisticated data models and measures (DAX).
• Strong ability to translate vague business requests into concrete technical requirements for stakeholders.
• Experience delivering predictive insights that drive measurable commercial value.
• Familiarity with LLMs (e.g., Claude, Gemini) to speed up workflows and documentation.

Responsibilities

• Collaborate with stakeholders to develop robust dashboard requirements across data literacy levels.
• Design, build, and maintain Power BI dashboards that deliver value to the business.

Skills

SQL Mastery

Power BI & DAX Specialist

Strategic Stakeholder Management

Insight Delivery & Storytelling

LLM Literate

Tools

Power BI

DAX

SQL

Python

Job description

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 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.

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

Drive Operational Efficiency

• You will help 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.

Support Data Integrity:

• You will follow the team's data governance standards and contribute to documentation across your 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.

About you

• Proven Track Record: 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.
• SQL Mastery: Advance level proficiency in writing, optimising, and debugging complex queries. You should be comfortable handling large-scale datasets and understanding relational database architecture.
• Power BI & DAX Specialist: Advanced command of the Power BI ecosystem. You don't just build reports; you create sophisticated DAX measures and perform complex data modeling to solve intricate business logic.
• Strategic Stakeholder Management: A proven ability to act as a bridge between technical data and business needs. You can translate "vague requests" into concrete technical requirements and present findings to executives with confidence.
• Insight Delivery & Storytelling: You possess a "so what?" mindset. You have a track record of moving beyond descriptive reporting to deliver predictive insights that drive measurable commercial value.
• LLM Literate: You are comfortable using LLMs (e.g., Claude, Gemini) to accelerate your workflow, whether for logic verification, documentation, or streamlining code development.

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 to optimise data cleaning, generate SQL scripts, or automate metadata documentation.
• Python for Analytics: Ability to use Python for data manipulation (Pandas/NumPy), automation scripts, or basic statistical modeling to augment standard BI toolsets.
• Data Governance Frameworks: Practical experience establishing data dictionaries, lineage, and quality protocols to ensure a "single source of truth."
• Forecasting & Predictive Modeling: Experience building time-series forecasts or predictive models to help the business anticipate trends, demand, or churn.
• Technical Mentorship: Experience in peer-reviewing code (SQL/DAX) and coaching junior analysts to uphold high standards of accuracy, performance, and design.

Who you are

• Take Ownership: We own the entire journey and see outcomes through from start to finish
• Dig Deeper :We ask why, investigate root causes, and build solutions that last
• Stronger Together :We choose collaboration, share knowledge freely, and lift each other up
• Momentum Matters :We act with purpose, remove blockers, and default to action
• Make a Lasting Impact :We think long-term, put people before numbers, and change the system for good

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
• Volunteer days as part of our CSR program
• Regular company socials & 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.

Learn more at salaryfinance.com

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.