Senior Data Analyst in London

Senior Data Analyst in London

London Full-Time 55000 - 65000 ÂŁ / year (est.) No home office possible
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Salary Finance

At a Glance

  • Tasks: Transform data into actionable insights and build impactful dashboards for our financial wellbeing platform.
  • Company: Join a fast-growing fintech company making a real difference in people's financial lives.
  • Benefits: Enjoy 25 days holiday, hybrid working, and generous perks like gym memberships and volunteer days.
  • Why this job: Be a key player in shaping business strategy while helping employees achieve financial security.
  • Qualifications: 5+ years in data analytics, advanced SQL, and Power BI expertise required.
  • Other info: Collaborative team culture with excellent career development opportunities.

The predicted salary is between 55000 - 65000 ÂŁ per year.

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+.

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 organization. Your mission is to ensure that the intelligence powering our most critical objectives is governed, trusted, and actionable.

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.

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.

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.
  • 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. 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.

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 (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.

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.

Senior Data Analyst in London employer: Salary Finance

At Salary Finance, we pride ourselves on being an exceptional employer that prioritises employee wellbeing and growth. Our collaborative work culture fosters innovation and inclusivity, while our commitment to career development ensures that every team member has the opportunity to thrive in their role. With generous benefits, hybrid working arrangements, and a mission that truly makes a difference in people's lives, joining us as a Senior Data Analyst means becoming part of a dynamic team dedicated to transforming financial wellbeing for millions across the UK.
Salary Finance

Contact Detail:

Salary Finance Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Analyst in London

✨Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or at industry events. Ask them about their experiences and share your passion for data analytics. This can give you insider info and maybe even a referral!

✨Tip Number 2

Prepare for those interviews! Brush up on your SQL and Power BI skills, and be ready to showcase your problem-solving abilities. Practice explaining complex data concepts in simple terms – it’ll impress the hiring managers!

✨Tip Number 3

Showcase your work! Create a portfolio of your best data projects. Whether it's dashboards or predictive models, having tangible examples will help you stand out and demonstrate your expertise.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission to improve financial wellbeing.

We think you need these skills to ace Senior Data Analyst in London

Data Analytics
SQL Mastery
Power BI
DAX
Data Governance
ETL/ELT Pipelines
Dashboard Design
Stakeholder Management
Predictive Analytics
Data Storytelling
Technical Mentorship
Python for Data Manipulation
Operational Efficiency
Data Quality Protocols

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Analyst role. Highlight your experience with SQL, Power BI, and any relevant projects that showcase your ability to drive data excellence.

Showcase Your Impact: When detailing your past experiences, focus on the impact you've made. Use metrics and examples to illustrate how your data insights have influenced business decisions or improved processes.

Be Clear and Concise: Keep your application clear and to the point. Avoid jargon unless it’s relevant to the role. We want to see your skills and experiences without wading through unnecessary fluff!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our mission!

How to prepare for a job interview at Salary Finance

✨Know Your Data Inside Out

Before the interview, dive deep into your past projects and be ready to discuss specific datasets you've worked with. Be prepared to explain how you optimised SQL queries or built Power BI dashboards that delivered real value. This will show your technical prowess and your ability to translate data into actionable insights.

✨Master the Art of Storytelling

When discussing your experience, focus on how your insights have driven business decisions. Use the 'so what?' mindset to highlight the impact of your work. Practise explaining complex data concepts in simple terms, as you'll need to bridge the gap between technical data and business needs during the interview.

✨Prepare for Technical Challenges

Expect a hands-on technical interview where you'll likely face a Power BI exercise. Brush up on your DAX skills and be ready to demonstrate your ability to create sophisticated reports. Practising with sample datasets can help you feel more confident and showcase your problem-solving skills effectively.

✨Showcase Your Collaborative Spirit

Since this role involves working closely with various stakeholders, be ready to discuss how you've fostered a culture of data ownership in previous roles. Share examples of how you've mentored junior analysts or collaborated with cross-functional teams to achieve common goals. This will highlight your team-oriented mindset and leadership potential.

Senior Data Analyst in London
Salary Finance
Location: London
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