Data Analyst - Fintech SaaS Game Changer.

Debt Register

Epsom

Hybrid

GBP 35,000 - 52,000

Full time

14 days+
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Job summary

A dynamic financial technology firm is seeking a hands-on Data Analyst in Epsom, UK. You will provide analytical support directly to the sales team, enhancing customer outcomes with actionable insights. This full-time role blends data analysis and client engagement, optimizing processes while ensuring accuracy in commissions and billing. If you have expertise in data analysis, Python, SQL, and advanced Excel, this position offers significant growth potential, including progression to Head of Customer Success.

Qualifications

  • Hands-on experience as a Data Analyst.
  • Strong proficiency in Python and SQL.
  • Expert in Excel, including Macros/VBA.

Responsibilities

  • Own the Data Function and build decision-ready reports.
  • Support the sales team with data preparation and insights.
  • Onboard new customers and lead training sessions.
  • Identify opportunities for process improvement through data.

Skills

Data Analyst
Python
SQL
Customer Service
Advanced Excel

Tools

Tableau
Looker

Job description

Data Analyst - Fintech SaaS Game Changer

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This range is provided by Debt Register. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base Pay Range

This isn’t a back-office data role.

You’re not buried in IT, and you’re not just building dashboards for someone else to interpret. You’re the data expert who sits alongside the sales team, fixes the spreadsheets everyone else avoids, turns messy data into insight, and helps customers get live and confident with the platform. Half your day is deep in numbers and automation. The other half is working directly with people - onboarding, training, and enabling real-world outcomes.

If you’re a hands‑on Data Analyst who enjoys ownership, visibility, and influence - and you want your work to directly impact growth - this role is built for you.

The Role at a Glance

Data Analyst

Epsom, Surrey HQ Based 3 days / 2 days per week working from home

Plus Benefits and potential progression to Head of Customer Success

Full time, Permanent - Monday - Friday - 8:30am - 5:30pm

Awards: British Credit Awards 2025 Finalist for Innovation in Credit. Fintech Winners at the CICM British Credit Awards 2023, Credit & Collections FinTech Supplier Award 2023

Clients: Verizon, Informa plc, Zoopla, Rentokil, Haymarket, SSE, Zendesk, Johnson Controls, ADT and More…

Culture: Informality and Flexibility, Work-Life Balance, Wellbeing, Personal Growth and Trust

Your Skills:

Data Analyst. Python. SQL. An expert with Excel. Customer Service.

Who we are:

We power a financial tool that solves a problem for the majority of B2B Global companies irrespective of size, with a working monetisable model and a path to Global scale.

Having recently launched our MVP, we are currently working with new clients to elicit feedback and improve the usability to support scalable growth.

Feedback from industry professionals has been extremely positive. Our product offering is enhanced further by the current economic landscape.

The Data Analyst Role:

We’re looking for a hands‑on data pro who’s far more than a number cruncher. This is an Operational All‑Rounder role for someone with the analytical rigor of a Data Analyst and the drive to work at the sharp end of the business - supporting sales, enabling customers, and getting things live.

You’ll sit at the crossroads of Operations, Sales Support, and Data. Beyond building reports, you’ll be client‑facing (supporting trials and onboarding), owning operational execution, and acting as the analytical engine behind our sales team.

What You’ll Own:
  • Own the Data Function: Build sharp, decision‑ready reports on business performance and customer activity.
  • Power the Sales Team: Be the analytical engine behind sales – prepping data, cleaning lead lists, and turning prospect data into clear, actionable insights (no meeting ownership required).
  • Commission & Billing Accuracy: Use transaction data to produce precise, reliable commission and billing reports.
  • Smarter Processes: Automate manual reporting and clean messy data to make everything faster, cleaner, and more scalable.
Operations & Customer Success:
  • Get Customers Live: Roll up your sleeves to onboard new customers and ensure everything is set up correctly from day one.
  • Run Trials & Training: Lead product trials and client training, confidently guiding customers through their own data.
  • Improve Customer Data: Identify and fix poor‑quality data that’s holding customers back.
  • Spot Risk & Opportunity Early: Monitor usage data to identify thriving customers and those needing support, proactively flagging insights to account teams.
What You Bring:

This role demands serious technical horsepower. You must think in data logic, automation, and structure – not just reports.

Must‑Have Technical Skills:
  • Advanced Excel Power User. You go far beyond Index/Match and Pivot Tables. Macros/VBA are required.
What Makes You Stand Out:
  • BI & Dashboards – Experience building dashboards in Tableau, Looker, or similar tools.
  • Python for Data – Ability to analyse data using Python puts you firmly in top‑tier territory.
The Right Profile:

This is a rare opportunity to join a fast‑growing, award‑winning FinTech at a pivotal stage – post‑MVP, scaling with enterprise clients, and building the foundations for global growth.

If you’re execution‑driven, technically sharp, confident with customers, and excited by a role that blends data, operations, and commercial impact, we’d love to hear from you.

Your next move could take you from Data Analyst to Head of Customer Success in a business that genuinely values trust, flexibility, and personal growth.

Privacy & Application Notice

Application notice... We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.

Seniority level
  • Associate
Employment type
  • Full‑time
Job function
  • Information Technology
  • Software Development
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