Analytics, Product & Marketing

As one of the first pioneers of earned wage access, Earn In is building products that deliver real‑time financial flexibility for those living paycheck to paycheck. Our community members can 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 are seeking a Staff Analyst to partner closely with the CMO and product leadership to drive user growth and engagement. This role 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 is to architect and build autonomous workflows that transform how analytics operates – design AI‑driven pipelines that work autonomously, surface insights proactively, and scale decision‑making across the organization.

• 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 product ionize these systems at scale.
• Develop and maintain experimentation, causal measurement, and product analytics frameworks that support acquisition, activation, engagement, retention, monetization, and lifetime value.
• 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.

• 7+ years in analytics or data science with deep hands‑on execution.
• Strong technical skills in SQL, Python, experimentation, and statistical modeling
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• 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
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• 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.

Mountain View base salary range: $215,000 – $263,000 per year, plus equity and benefits. This is a hybrid position in Mountain View, requiring in‑office work 2 days a week.

At Earn In, 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. Earn In 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.

Earn In is an E‑Verify participant.