Strategic Analytics Lead - Global Collections & Growth

Story Terrace Inc.

London

Hybrid

NOK 1,142,000 - 1,649,000

Full time

14 days+
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Benefits offered by this job

Device lease
Private Medical Insurance
Stock options
L&D budget
Hybrid working model

Job summary

Raylo seeks a data-driven strategist to scale its global collections and recoveries program in a fast-growing London-based company. You’ll partner with operations, product, and finance to balance customer outcomes with strong unit economics and drive actionable insights.

Requirements include 5+ years in analytics or data-focused roles, a 2:1 or higher from a top university, and proficiency in SQL and Python. Hybrid work with London Office.

Qualifications

  • Minimum 5+ years of analytics or data-focused collections and recovery strategy experience.
  • 2:1 or higher from a top university (STEM/quantitative preferred).
  • Proficient in SQL and Python to analyze datasets and drive decisions.
  • Strong stakeholder management and ability to balance business goals with customer outcomes.

Responsibilities

  • Define and scale Raylo's global collections and recoveries strategy across products and markets.
  • Champion data-informed decisions to improve performance while balancing customer value and unit economics.
  • Collaborate with operations, product, finance and engineering to turn insight into action.
  • Design robust, scalable strategies with strong commercial judgement.
  • Support Raylo's sustainable, circular approach to consumer electronics.

Skills

SQL
Python
Stakeholder management
Analytical thinking

Education

2:1 degree from a top university

Job description

Raylo seeks a data-driven strategist to scale its global collections and recoveries program in a fast-growing London-based company. You’ll partner with operations, product, and finance to balance customer outcomes with strong unit economics and drive actionable insights.

Requirements include 5+ years in analytics or data-focused roles, a 2:1 or higher from a top university, and proficiency in SQL and Python. Hybrid work with London Office.

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