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Salary Finance

Senior Data Analyst

London
Posted about 21 hours ago
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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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

  • 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 & 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

Essential:

  • 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. 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.
  • Technical Mentorship: Experience in peer-reviewing code (SQL/DAX) and coaching junior analysts to uphold high standards of accuracy, performance, and design

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.

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Who you are

We embrace our differences, but there’s one thing we like to share, which is our values, so it’s important to us that 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?

  • Company bonus scheme 💰
  • 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 (post covid, although we've got quite good at virtual ones too!)
  • 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.

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.

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Skills

SQL
Power BI
DAX
Data Modeling
Stakeholder Management
Data Governance
ETL/ELT Pipelines
Data Visualization
UX/UI Design
Predictive Analytics
LLM Proficiency
Technical Mentorship
Python
Data Marts
Business Intelligence

Location

London, England, United Kingdom

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