Senior Data Analyst

Job Title:

Senior Data Analyst
Salary + Benefits: £70,000 to £80,000 base salary, Up to 20% annual bonus, Up to 30% share options

Location:

London 3 days per week onsite
 
The Client
WeDo is partnering with a high growth UK fintech that has scaled from early stage start up to multi million customer platform in under a decade. The business is reshaping how consumers pay, blending elements of debit, credit and rewards into a seamless, interest free proposition.
 
With significant backing, strong revenue growth and ambitious expansion plans across products and geographies, they are now investing heavily in their Product Strategy capability to drive the next phase of sustainable, profitable growth.

The Role
This Senior Data Analyst will join the Product Strategy function, sitting within a high impact team at the centre of commercial decision making.
 
This is not a reporting role. It is a commercially focused analytics position where you will influence product bets, unit economics, customer lifecycle strategy and long term profitability.
 
You will partner closely with senior stakeholders across Product, Risk and Finance, acting as a trusted data voice on some of the company’s most critical KPIs. The role requires strong ownership, intellectual curiosity and the ability to operate autonomously in a fast paced environment.
 
Responsibilities

• Own and evolve core business metrics tied to growth, LTV, margin and profitability

• Act as a data partner to senior product and finance leaders, delivering clear, commercially relevant insight

• Analyse end to end customer behaviour to identify growth drivers and optimisation opportunities

• Evaluate new product initiatives, experiments and strategic bets through robust analysis

• Design and automate scalable data models to improve reporting accuracy and decision velocity

• Contribute to experimentation frameworks and analyse large scale A B tests

• Improve data workflows and help reduce technical debt within the analytics environment

• Build self service tools and automated processes to support wider business scalability
 
Requirements
Experience

• 4+ years in a product, commercial or strategy analytics environment

• Strong exposure to growth metrics, unit economics and commercial modelling

• Experience analysing and interpreting A/B testing results

• Comfortable presenting findings to senior non technical stakeholders
 
Technical

• Advanced SQL skills

• Working knowledge of Python for analytics and automation

• Experience with dbt modelling and best practice data transformation

• Exposure to modern BI tools such as Looker

• Experience working with Snowflake

• Familiarity with AWS or Azure environments
 
Profile

• Self motivated and highly autonomous

• Analytical, sharp and commercially minded

• Comfortable with ambiguity and able to independently drive initiatives

• Strong communicator who can simplify complex problems
 
Recruitment Process
30 minute Teams interview with the Manager, focusing on cultural alignment and CV walkthrough
1 hour technical interview assessing hands on SQL and Python capability, weighted heavily toward SQL
1 hour logical reasoning session with the team involving data interpretation and explanation of key trends
Final 1 hour onsite interview focused on cultural fit
The process is thorough but efficient, designed to assess both technical depth and commercial thinking.
 
Ready to Apply?
Send your CV to (url removed)