Analyze •••••••’s lending product and use data to inform product and revenue decisions.
Responsibilities:
- Define and monitor KPIs for product features and initiatives across the credit funnel.
- Identify funnel drop-offs and opportunities to improve conversion.
- Assess growth opportunities and model the expected business value of projects and features.
- Run A/B experiments from hypothesis and test design through analysis and rollout decisions.
- Analyze pricing, rates, terms, and eligibility settings in relation to conversion, defaults, and portfolio health.
- Maintain analytics documentation and data marts, partnering with the Data team on reliable product data.
- Communicate findings and recommendations to product and business teams.
Requirements:
- 3+ years in product analytics or data science, with experience influencing product decisions.
- Strong statistical foundation, including A/B testing, causal inference, and time series.
- Advanced SQL and proficiency in Python, including pandas and NumPy.
- Experience with BI and visualization tools such as Redash or Tableau.
- Structured thinking, a product mindset, and professional working proficiency in English.
Nice to have: Experience in fintech, lending, or large-scale marketplace products.
Benefits: Mentoring, career consulting, learning programs, international collaboration opportunities, company activities, and co-financed language courses.