Data Analyst

Data Analyst

Location: Remote-first (monthly visit to Nottingham HQ – travel expensed)

Salary: £30,000–£45,000 (DOE)

The Company

A fast-growing UK consumer lender recently acquired by a global fintech, focused on transparent, short-term credit that helps customers cover essential, time-critical costs. With significant investment and an ambitious growth plan (new products and expanded lines of credit), the business is scaling its data capability to drive smarter acquisition and pricing decisions.

The Role

This is a hands-on analytics role sitting in Marketing & Pricing. You’ll analyse broker and lead-gen performance, optimise pricing and targets, and turn large datasets into clear, commercial recommendations. Expect variety: building dashboards, running A/B tests, diagnosing funnel issues, and partnering with stakeholders to shape how the business acquires and retains customers.

Key Responsibilities

• Own performance analytics across third-party brokers and lead-gen partners; monitor volume, approval, CPA/CAC and payback.
• Support pricing and target-setting; evaluate elasticity and lift, and guide rate/offer changes.
• Design and analyse A/B and multivariate tests across landing pages, journeys and partner traffic.
• Build automated reporting (e.g., weekly KPIs, cohort/LTV, source quality) in SQL and visualisation tools.
• Translate findings into clear actions for Marketing, Commercial and senior leadership.
• Support new product lines (e.g., line of credit) with sizing, test design and success metrics.
• Improve data acquisition and quality from external partners; define specs, checks and SLAs.
• Contribute to forecasting and planning by feeding robust performance assumptions.
• Document logic, maintain reproducible code, and champion best practice in data governance.

Skills & Experience

Essential:

• 3+ years’ analytics experience (financial services strongly preferred).
• Strong SQL for data extraction, joins, window functions and performance tuning.
• Proficiency in Python or R for analysis and experimentation (Python preferred).
• Proven experience with A/B testing: design, power, analysis and clear read-outs.
• Dashboarding in Power BI/Tableau/Looker and advanced Excel for quick analysis.
• Evidence of turning data into concise, commercial recommendations for non-technical stakeholders.
• Familiarity with acquisition funnels, broker/affiliate performance and lead quality diagnostics.

Desirable:

• Experience in short-term lending or consumer finance (pricing, underwriting, collections KPIs).
• Knowledge of marketing analytics (attribution basics, cohort/LTV, churn/retention).
• Exposure to cloud warehouses (Snowflake/BigQuery/Redshift) and dbt.
• Comfort working with messy partner data; building validation and reconciliation checks.
• Basic understanding of experimentation platforms and uplift modelling.

Interview Process

1st Stage: Intro with Manager (CV deep-dive and role fit).

2nd Stage: Case study (3 days to complete) analysing provided data and presenting insights.

Final Stage: Leadership interview (with sign-off) to discuss recommendations and stakeholder approach.

How to Apply

Send your CV to Mohammed Buhariwala at Harnham or connect on LinkedIn to learn more and request the full brief.

Keywords

• Data Analyst, SQL, Python, A/B Testing, Pricing Analytics, Lead Generation, Broker Performance, Acquisition Funnel, CAC, LTV, Cohort Analysis, Dashboarding, Power BI, Tableau, Financial Services, Consumer Lending, Remote, Nottingham.