Added
8 days ago
Type
Full time
Salary
Salary not provided

Related skills

aws product analytics sql python ai tools

πŸ“‹ Description

  • Own analysis of product performance across the full funnel: traffic, applications, approvals
  • Build and maintain the dashboards, metrics and data models that Product, Credit and Operations rely
  • Form sharp hypotheses, design experiments (journey changes, pricing, A/B tests) and measure the
  • Get to the root cause of anomalies quickly, whether the cause is in the data, the code or the
  • Model the economics of each product: acquisition cost, approval and take-up rates, pricing, funding
  • Put numbers on the trade-offs behind product decisions, such as wider approval versus higher

🎯 Requirements

  • A top-tier STEM or Economics graduate (computer science, engineering, mathematics, physics
  • 0–2 years of experience, including internships, placements or early-career roles with real
  • Strongly analytical and confident with SQL and Python, able to go from raw data to a clear
  • Able to build with AI. You use AI coding tools (e.g. Claude Code, Cursor) to ship working front-end
  • Hands-on with analytics tools such as AWS QuickSight, PostHog or similar BI and product analytics
  • Commercially minded. You naturally ask how something makes money, and you enjoy modelling unit

🎁 Benefits

  • Everyone owns a piece of the company: equity
  • Hybrid working, with 3 days a week in the office
  • 25 days' holiday a year, plus 8 bank holidays
  • 2 paid volunteering days per year
  • One month's paid sabbatical after 4 years
  • Employee loan
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