Key skills
PythonSQLAnalyticsA/B Testing
About this role
Role Overview
- Optimise Teya’s offer to ensure competitiveness and profitability at a customer level
- Build and maintain acquisition pricing models, including elasticity and willingness-to-pay analysis
- Lead a data-driven test-and-learn process to continuously refine pricing logic
- Analyse performance, draw insights, and recommend changes to improve outcomes
- Partner with product and data teams to operationalise successful experiments
- Contribute to the development of Teya’s acquisition pricing strategy
- Collaborate with product, marketing, and commercial teams to align pricing with customer and market dynamics
- Translate analytical findings into clear, actionable recommendations for stakeholders
Requirements
- 4–5 years of experience in pricing, analytics or a similar quantitative role
- Strong technical skills in SQL and Python for data analysis and model building
- Experience with experimentation frameworks (A/B testing, uplift modelling, causal inference)
- Solid understanding of commercial metrics, unit economics and cash flow models
- Excellent problem-solving skills with the ability to test hypotheses and communicate insights clearly
- A proactive, hands-on approach with a passion for learning and improving
Tech Stack
- Python
- SQL
Benefits
- Flexible working hours
- Physical and mental health support through our partnership with GymPass giving free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, digital fitness and nutrition apps
- Extended and improved maternity and paternity leave choices
- Cycle-to-Work Scheme
- Health and Life Insurance
- Pension Scheme
- 25 days of Annual Leave (+ Bank Holidays)
- Office snacks every day
- Friendly, comfortable and informal office environment in Central London