Senior Strategy and Data Analyst
Lendable
Overview
In this role you help grow and scale Zable, a mobile-first credit card by applying data-driven strategies across pricing, growth, and product analytics. You’ll work with cross-functional teams to optimize promotions, forecast performance, and evaluate expansion opportunities, driving responsible growth and customer-focused decisions. You’ll influence senior leadership with concise, data-backed insights and help shape strategic direction in a fast-paced fintech environment.
Pay / Benefits- equity
- best-in-class compensation including equity
- hybrid work (London Shoreditch office with remote Mondays and Fridays)
- private health insurance
- fully stocked kitchen Tue–Thu
- inclusive, equal-opportunity workplace
- Drive promotions & pricing strategy through data-driven analysis and experimentation to balance engagement, growth, price elasticity, and profitability
- Build insight into marketing campaigns and conversion funnel performance to improve cost and conversion efficiency
- Stay abreast of industry trends and competitor activity to ensure products remain fit for purpose
- Collaborate with Credit Risk Analytics, Growth and Data Science to understand product and portfolio performance at granular sub-segments
- Define KPIs and develop monitoring to track performance and deliver actionable recommendations
- Evaluate expansion opportunities for new product, channel and segment with robust commercial assessment frameworks (e.g., RoI/NPV)
- Collaborate with stakeholders across Credit Risk, Data Science, Product and Growth to implement strategies
- Present insights to senior leadership with clear, data-backed recommendations
- Ensure strategies perform post-deployment and iterate as needed
- Mentor junior analysts and pursue defined career progression pathways
- 3+ years of experience in an analytics role (growth, credit risk, product analytics, marketing, etc.)
- Proficiency in SQL and Python
- Desirable: experience in an FCA-regulated financial services firm
- analytical thinking
- commercial mindset
- cross-functional collaboration
- SQL
- Python
- data analysis
Reference: WJ-747_30168764