Staff Data Analyst

7 - 12 years

9 - 14 Lacs

Posted:3 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About EarnIn

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.
We re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.

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

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