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Salary: USD 215,000 - 263,000 / annual
EarnIn is seeking a Staff Analyst to partner with the CMO and product leadership to drive user growth and engagement. This role shapes analytics strategy, mentors the analytics team, and collaborates cross-functionally with Marketing, Product, and Engineering to translate business needs into actionable insights.
The primary focus is architecting and building agentic workflows that transform how analytics operates at scale. You will design AI-driven pipelines that work autonomously, surface insights proactively, and enable data-driven decision-making across the organization. This requires both strategic vision to identify where automation unlocks the most value and hands-on technical depth to build solutions yourself.
Key responsibilities include:
- Collaborating with Product, Engineering, Marketing, and cross-functional partners to inform and execute strategy across product and growth surfaces
- Building AI-driven analytics agents that automate workflows such as experimentation readouts, funnel diagnostics, anomaly detection, and business reviews, then partnering with Engineering to productionize these systems
- Developing and maintaining experimentation, causal measurement, and product analytics frameworks supporting acquisition, activation, engagement, retention, monetization, and LTV
- Designing measurement and modeling approaches across paid, owned, and product surfaces using uplift modeling, causal inference, and experimentation rigor
- Developing deep understanding of complex product and marketing systems to identify growth opportunities, risks, and levers
- Communicating insights clearly to technical and non-technical audiences, influencing product and marketing roadmaps
Required qualifications include 7+ years in analytics or data science with deep hands-on execution, strong technical skills in SQL, Python, experimentation, and statistical modeling, and experience building AI-driven analytics workflows. You should have solid background in product and growth analytics across activation, engagement, retention, and monetization, plus experience with causal inference, uplift modeling, and experimentation frameworks. The ideal candidate operates as a high-leverage individual contributor who partners closely with executives and cross-functional leaders, with excellent communication and storytelling skills for diverse audiences. Experience in fintech, consumer tech, or data-driven product organizations is a plus, as is familiarity with modern data stacks like Databricks, Snowflake, dbt, Amplitude, and Looker.
