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Salary Finance

Senior Data Analyst

London
Posted 9 days ago
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Senior Data Analyst

Senior Data Analyst – Enterprise Data Hub

About Salary Finance

Salary Finance works with employers to provide a financial wellbeing platform as an employee benefit. Our mission is to help employees understand their money better, escape debt faster, and save for the future.

We already have a reach of circa 4,000,000 employees through relationships with over 500 of the largest employers in the UK. By improving financial wellbeing, we reduce financial stress, cut interest rates on employee debt, and empower users with tools to build long-term financial security.

Backed by major investors including Blenheim Chalcot, Legal & General, Experian, Goldman Sachs, as well as partnerships with JP Morgan and Blue Owl, we’ve grown rapidly since our launch in 2015. We’ve been recognised as:

  • BITC’s Responsible Business of the Year
  • Top of Forbes’ socially-responsible startups list
  • Featured in the Financial Times, The Guardian, The Telegraph and more

Your Role in Our Mission

We’re looking for a Senior Data Analyst to lead the Enterprise Data Hub, moving beyond reactive reporting to architect the north-star datasets for Salary Finance. This role will accelerate our 2026 strategy by ensuring our £1bn+ loan book is governed, trusted, and scalable.

As a senior team member, you’ll act as a high-visibility advocate for data excellence, fostering a company-wide culture of data ownership. You’ll collaborate with stakeholders across Product, Marketing, and Commercial teams, equipping them for self-service analytics with confidence. If you’re looking for impact at the heart of strategic mission-driven work—your data-driven insights will directly shape business outcomes.


What You’ll Do

Architect High-Impact Dashboarding

  • Influence stakeholders from all levels of data literacy to define dashboard requirements
  • Build, design, and maintain best-in-class Power BI dashboards delivering measurable value
  • Implement best-practice UX/UI design to maximise user engagement

Drive Operational Efficiency

  • Lead automation of manual reporting processes and operational workflows
  • Optimise report automation and SQL scripts to reduce technical debt and improve performance
  • Confidently maintain production systems with minimal downtime

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.

Start with a chat, not a search bar

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.

P

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

  • Deliver analytics insights that enforce long-term business strategy and commercial outcomes
  • Partner with cross-functional teams to ensure data aligns with strategic objectives

Champion Data Integrity

  • Act as the custodian of data excellence, enforcing governance standards
  • Document all analytical outputs to enable confidence and traceability

Engineer Data Foundations

  • Build scalable data products catering to self-service analytics needs
  • Refine ETL/ELT pipelines alongside Data Engineers to ensure robust upstream data architecture

Leadership & Collaboration

  • Mentor colleagues and lead training to increase self-service adoption and data literacy
  • Champion code-review processes for SQL/DAX, establishing high standards for accuracy and performance

About You

Essential:

  • 5+ years of experience in data analytics, business intelligence, or equivalent roles, with a clear trajectory from technical execution to strategic thinker
  • Expertise in SQL: Able to write, optimise and debug complex queries while handling large-scale datasets
  • Power BI & DAX Specialist: Advanced ability to model data, create sophisticated measures, and innovate technical solutions
  • Strategic stakeholder management: Skilled at bridging technical teams and business leadership
  • "So what?" mindset: Proven track record of delivering predictive insights that drive commercial impact
  • LLM Fluency: Comfortable leveraging LLMs (e.g., Claude, Gemini) for workflow automation, logic verification, or documentation
  • Peer mentorship: Experience in reviewing code (SQL/DAX) and training junior team members

Nice to Have:

  • Experience in financial services, FinTech, or regulated industries
  • Prompt Engineering for Analytics to accelerate data SQL/Power BI solutions
  • Python for Analytics: Ability to use Pandas/NumPy, automation scripts or basic statistical modeling
  • Data Governance: Hands-on experience with establishing data dictionaries, lineage, and quality protocols
  • Forecasting & Predictive Modeling: Proven capability building time-series or predictive models

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Who You Are

Salary Finance values difference and commitment to shared principles. Here’s how we align:

  • Fearless – Inspired to solve challenges others deem impossible
  • Responsible – Motivated by social impact, delivering a tangible difference to society
  • Dedicated – Committed to both success and resilience, embracing challenges
  • Empathetic – Prioritises the needs of colleagues and customers
  • United by Team Values – Collaborative, focusing on shared goals
  • Humble – Embracing growth through feedback and learning

What You’ll Get

We reward talent with both purpose and rewards:

  • Company bonus scheme
  • 25+ days holiday (up to 30 days + an extra day on your birthday) for every year of service
  • Hybrid working model – flex between office and home, with budget support for setup
  • Generous benefits: Pension and life assurance, discretionary medical, gym, dental, and eye care
  • Pet-friendly and family-inclusive policies including paternity leave and enhanced sick pay
  • Fast-paced career growth in a mission-driven environment
  • Optional volunteer days for your CSR commitment
  • Practical perks: Weekly snacks, tuckshop, cycle-to-work scheme, financial wellness benefits, and more!

Typical Interview Process

  1. Introductory call – discuss role fit (20 mins, phone call)
  2. Project-based technical interview (Entertainment NDA-protected Power BI scenario) (60 mins, video call)
  3. Cultural fit & past work interview (in-person/post-COVID office meeting, 60 mins)

Why Join Us?

Salary Finance is transforming lives through financial wellbeing. We’re a collaborative team, driven to tackle systemic challenges. If you’re eager to make a real impact in a fast-paced, values-led environment, we’d love to hear from you.


Learn more: salaryfinance.com

Salary Finance is an equal opportunities employer. We’re committed to inclusivity and diversity, and actively seek candidates from backgrounds reflecting this ethos. If you need to discuss accessibility arrangements, please let us know.

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Jessica, London

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Skills

Data Analytics
Business Intelligence
SQL
Power BI
DAX
Data Governance
Data Modeling
Predictive Analytics
Data Visualization
Stakeholder Management
Automation
Mentorship
Python
ETL
Data Integrity
Dashboarding

Location

London, England, United Kingdom

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