Position Summary
Join us in a high-impact role to drive growth at EarnIn. This function plays a critical role in how we use analytics to inform our business & product priorities, drive data-backed experiments, deliver value across the consumer lifecycle and measure performance for future optimizations. You will work closely with our product and engineering teams to establish end-to-end measurement & reporting, implement rigorous testing methodologies, and drive strategic analyses.
What You'll Do:
- Drive strategic analyses that identify key opportunities to improve the core product experience for EarnIn's customers
- Partner with the Product and Engineering teams to design and run experiments
- Upgrade EarnIn's experimentation stack by implementing tools such as Sequential Testing, Bayesian testing, and CUPED
- Partner with the Machine Learning Engineering team to design and build models that form the core of EarnIn's core product
- Monitor & proactively surface/troubleshoot any problems across the key business metrics & drive resolution of these issues
What We're Looking For:
- 7+ years experience in product analytics/data science in a B2C role
- Product sense and intuition to drive impact on the business and customer experience
- Experience designing, running, and interpreting experiments.
- Expert skillset in SQL and experience with Python or R
- Practical knowledge of state-of-the-art experimentation tools such as Sequential Testing, Champion/Challenger, CUPED, etc.
- Practical knowledge of machine learning techniques
- Ability to extract insights from large data sets & seamlessly translate into actionable recommendations across the consumer journey
- Ability to establish and maintain excellent processes while allowing for creative thinking and flexibility in ambiguous situations
- Curiosity and passion for deeply understanding analytical problems and translating this to stakeholders
- Experience in Fintech is a bonus
#LI-Hybrid
