Staff Analytics, Product & Marketing

Posted 2 Days Ago
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Mountain View, CA, USA
In-Office
215K-263K Annually
Senior level
Fintech • Payments • Financial Services
The Role
Partner with CMO and product leaders to build AI-driven analytics agents, automate experimentation readouts, and productionize measurement systems. Lead causal inference, uplift modeling, and product/growth analytics to inform acquisition, engagement, retention, monetization, and LTV. Mentor the analytics team and translate data-driven insights into strategic recommendations for product and marketing.
Summary Generated by Built In
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

We are seeking a Staff Analyst to partner closely with the CMO and product leadership to drive user growth and engagement. This leader will shape and drive the analytics strategy, mentor and develop the team, and collaborate cross-functionally with Marketing, Product, and Engineering to translate business needs into actionable insights. 

The primary goal of this position is to architect and build agentic workflows that transform how analytics operates: design AI-driven pipelines that work autonomously, surface insights proactively, and scale decision-making across the organization. You bring both the strategic vision to see where automation unlocks the most value, and the hands-on depth to get into the data and build it yourself.

The Mountain View base salary range for this full-time position is $215,000 to $263,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View, requiring in-office work 2 days a week.

WHAT YOU'LL DO 

  • Collaborate with Product, Engineering, Marketing, and cross‑functional partners to inform, influence, and execute strategy across product and growth surfaces.
  • Build AI‑driven analytics agents that automate workflows such as experimentation readouts, funnel diagnostics, anomaly detection, and business reviews, and partner with Engineering to productionize these systems at scale.
  • Develop and maintain experimentation, causal measurement, and product analytics frameworks that support acquisition, activation, engagement, retention, monetization, and LTV.
  • Design and implement measurement and modeling approaches across paid, owned, and product surfaces, using uplift modeling, causal inference, and experimentation rigor (MMM optional).
  • Develop a deep understanding of complex product and marketing systems to identify opportunities, risks, and levers for growth.
  • Communicate insights clearly to technical and non‑technical audiences, influencing product and marketing roadmaps through data, modeling, and AI‑driven insights.

WHAT WE'RE LOOKING FOR 

  • 7+ years in analytics, data science with deep hands‑on execution.
  • Strong technical skills in SQL, Python, experimentation, and statistical modeling.
  • Experience building AI‑driven analytics workflows (LLMs, agents, automation, or similar).
  • Solid background in product and growth analytics across activation, engagement, retention, and monetization.
  • Experience with causal inference, uplift modeling, and experimentation frameworks.
  • Ability to operate as a high‑leverage IC who partners closely with executives and cross‑functional leaders.
  • Excellent communication and storytelling skills for technical and non‑technical audiences.
  • Experience in fintech, consumer tech, or data‑driven product organizations is a plus.
  • Familiarity with modern data stacks (Databricks, Snowflake, dbt, Amplitude, Looker) is a plus

#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.

Skills Required

  • 7+ years in analytics or data science with hands-on execution
  • Strong technical skills in SQL and Python
  • Experience with experimentation and statistical modeling
  • Experience building AI-driven analytics workflows (LLMs, agents, automation)
  • Background in product and growth analytics across activation, engagement, retention, monetization, and LTV
  • Experience with causal inference, uplift modeling, and experimentation frameworks
  • Ability to operate as a high-leverage individual contributor partnering with executives and cross-functional leaders
  • Excellent communication and storytelling skills for technical and non-technical audiences
  • Experience in fintech, consumer tech, or data-driven product organizations
  • Familiarity with modern data stack tooling (Databricks, Snowflake, dbt, Amplitude, Looker)
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The Company
HQ: Palo Alto, CA
229 Employees
Year Founded: 2012

What We Do

Earnin’s mission is to build a financial system that works for people. Every year, while Americans wait for their paychecks, more than $1 trillion of their hard-earned money is held up in the pay cycle. As a result, we accumulate over $50 billion in late and overdraft fees and turn to high-interest loans. We seek to eliminate those fees and put money back into workers’ hands. Our financial system doesn’t work for people. But Earnin does. Earnin is an app that lets people get paid as soon as they leave work, with no fees, interest, or hidden costs. App users can receive their money in their bank account instantly at little or no cost — as we operate on a pay what you choose model. All they need is a bank account and a job that provides direct deposit or uses electronic timesheets. At Earnin, we’re building the way we think a financial system should work for everyone, not just the people who can afford it. We help people take control of their money and get to a better financial place. Our goal is not only to provide great products at little or no cost to the people who need them but also to inspire kindness across the financial world and eventually across all industries.

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