Sr. Data Analyst

Join us in a high-impact role to drive growth at EarnIn. As a Sr. Data Analyst, you will play a critical role in using analytics to inform our business & marketing priorities, drive data-backed experiments, deliver value across the consumer lifecycle, and measure performance for future optimizations.

You will work closely with our marketing, product, and engineering teams to establish end-to-end measurement & reporting, implement rigorous testing methodologies, and drive strategic analyses. This position will be hybrid from our Bengaluru office as part of our expanding site location.

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

Requirements:

• 4+ years of experience in marketing analytics/product analytics/data science in a B2C role
• Bachelor's degree in a relevant field or equivalent industry experience.
• 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
• Experience in Fintech is a bonus.