Senior Data Analyst

Summary

Join EarnIn, a pioneer in earned wage access, as a high-impact growth driver. This critical role uses analytics to inform business and marketing priorities, drive data-backed experiments, and measure performance. You will collaborate with marketing, product, and engineering teams to establish end-to-end measurement and reporting, implement rigorous testing methodologies, and conduct strategic analyses. The position requires strong analytical skills, experience with various digital marketing channels, and expertise in experimentation and machine learning techniques. You will be responsible for identifying growth opportunities, designing and running experiments, and improving EarnIn's experimentation stack. Success in this role demands the ability to extract insights from large datasets and translate them into actionable recommendations.

Requirements

• 5+ years experience in marketing analytics/data science in a B2C role
• Strong understanding of various digital marketing channels (Meta, Google, email, push notification, SMS)
• 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

Responsibilities

• Drive strategic analyses that identify key growth opportunities for EarnIn across Product and Marketing
• Partner with the Product and Marketing 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 can customize our LCM experience
• Monitor & proactively surface/troubleshoot any problems across the key business metrics & drive resolution of these issues

Preferred Qualifications

Experience in Fintech is a bonus