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Growth Analyst

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Harnham
Full Time position
Listed on 2026-07-06
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 80000 GBP Yearly GBP 80000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Growth Analyst | Up to £80,000 | London (4 days office)

DTC Subscription Business

We are working with a fast-growing, venture-backed DTC subscription business in the consumer space, currently hiring a Growth Analyst to join their Acquisition and Product/Growth team. The business is highly data-driven with analytics central to decision-making across Product, Marketing, and Finance. This is a commercially focused role where you will be expected to go beyond reporting and actively identify opportunities to improve acquisition, retention, and LTV.

The Role

You will take ownership of end-to-end growth analysis across the customer funnel, supporting experimentation and delivering insights that directly influence commercial decisions. The role sits in a fast-paced environment with highly analytical stakeholders.

Key Responsibilities
  • Funnel analysis across acquisition, activation, retention and LTV
  • Cohort, segmentation and customer lifecycle analysis
  • Design and evaluation of A/B tests and experiments
  • Build and maintain dashboards and KPI reporting
  • Identify drivers of performance changes and growth opportunities
  • Support marketing channel performance and optimisation
  • Deliver actionable insights to senior stakeholders
Requirements
  • Strong SQL skills and experience with a BI tool (Looker, Tableau, Power BI etc.)
  • Experience in a consumer tech, subscription, marketplace or digital business
  • Background in Growth, Product or Marketing Analytics
  • Strong academic record with clear evidence of impact and progression
  • Strong commercial mindset and stakeholder management skills
  • Proactive, curious and comfortable working in ambiguity
Desirable
  • Experience with A/B testing / experimentation
  • Exposure to attribution or MMM
  • Forecasting or opportunity sizing experience

    Python or advanced analytics skills
Process
  • 30 min intro interview + 45 min founder interview (in-person)
  • Take-home analysis task + SQL test (video interview)
  • Final in-person interview focused on analytical thinking and execution
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