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Senior Data Analyst

Senior Data Analyst to drive growth at EarnIn.
EarnIn
Remote
On-Site
Mexico
Undisclosed salary
Job Description
EarnIn is seeking a Senior Data Analyst to play a critical role in driving growth. This role involves using analytics to inform business and marketing priorities, driving data-backed experiments, delivering value across the consumer lifecycle, and measuring performance for future optimizations. The Senior Data Analyst will collaborate closely with marketing, product, and engineering teams to establish end-to-end measurement and reporting, implement rigorous testing methodologies, and drive strategic analyses.

What this role involves:
  • Driving strategic analyses to identify key growth opportunities for EarnIn across Product and Marketing.
  • Partnering with the Product and Marketing teams to design and run experiments.
  • Upgrading EarnIn’s experimentation stack by implementing tools such as Sequential Testing, Bayesian testing, and CUPED.
  • Partnering with the Machine Learning Engineering team to design and build models that can customize our LCM experience.
  • Monitoring and proactively surfacing/troubleshooting any problems across the key business metrics and drive resolution of these issues.

Requirements:
  • 5+ years of 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.
  • Experience in Fintech is a bonus.
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