Sr Product Analyst at EarnIn

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Apr, 26

Salary

220175.0

Posted On

17 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, R, A/B Testing, Data Science, Analytics, KPI Development, Dashboard Creation, Interpersonal Skills, Experimentation Methodologies, Creative Thinking, Fast-Paced Environment, Periscope, Tableau, Databricks, Amplitude

Industry

Financial Services

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. 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 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 several key areas, including growth, retention, and customer experience. We will align you with the opportunities that best match your interests and strengths. The US base salary range for this full-time position is $180,143 - $220,175 plus equity and benefits. Our salary ranges are determined by role, level, and location. Come make a difference with us and have fun doing it! This role is hybrid with the expectation of working from our offices in Mountain View, CA two days per week. 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. Ideate, execute and measure initiatives. WHAT WE'RE LOOKING FOR You have strong interpersonal skills and can work cross-functionally in team environments You have 4+ 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 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. #LI-Hybrid 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.

Responsibilities

The role involves turning information into insights through analytics, data science, and experimentation to help the company grow. Responsibilities include defining key metrics, conducting analysis, and communicating results to stakeholders.