Staff Product Analyst (Core Product)

Palo Alto, US

EarnIn

EarnIn is an app that gives you access to the pay you've earned - when you want it. Get paid for the hours you've worked without waiting for payday.

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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. Since our founding, our app has been downloaded over 13M times and we have provided access to over $15 billion in earnings.

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

This is a high-impact role with a lot of excitement. You will be able to turn information into insights through analytics, data science, and experimentation and help the company grow tremendously. We have opportunities in a few areas, such as growth, retention, customer experience, etc., and we will align you based on your interest and strength to our best.

The US base salary range for this full-time position is $200,700 - $245,300+ equity + benefits. Our salary ranges are determined by role, level, and location. Come make a difference with us and have fun doing it!

WHAT YOU'LL DO

  • Work closely with the product and engineering teams to define key metrics and answer important questions. 
  • Conduct analysis and opportunity sizing to find opportunities for improvement and turn the hypothesis into actionable and well-designed experiments(A/B Testing)
  • Identify KPIs and develop dashboards to monitor the metrics and show where we are now, whether we have achieved our goals, and why
  • Communicate results, influence stakeholders, and be the trusted thought partner for the product, engineering, and leadership team.
  • Own the core and critical employment domain that powers multiple products at EarnIn.

WHAT WE'RE LOOKING FOR

  • You have strong interpersonal skills and can work cross-functionally in team environments
  • You have 6+ years of experience in product analytics/data science
  • You are an expert with SQL and have experience with Python or R
  • Ability to think creatively and thrive in a fast-paced, dynamic, often ambiguous work environment
  • Experience designing, interpreting, and iterating on A/B tests. Practical knowledge of experimentation methodologies and frameworks
  • Experience collaborating with ML teams to understand model performance and its business implications
  • Experience with Periscope, Tableau, Databricks, Amplitude, and/or Optimizely is a plus
  • Experience creating offline ML models is a plus

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant. 

EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.

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Tags: A/B testing Amplitude CX Databricks Engineering KPIs Machine Learning ML models Periscope Python R SQL Tableau Testing

Perks/benefits: Career development Equity / stock options Startup environment

Region: North America
Country: United States

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