# Staff Analytics, Product & Marketing

**Company:** [Earnin](https://hotfix.jobs/companies/earnin)
**Location:** Mountain View, CA
**Role:** Data Analytics
**Salary:** $215k – $263k/yr
**Experience:** 7+ years
**Skills:** SQL, Python, Experimentation, Statistical Modeling, Causal Inference, Uplift Modeling, LLMs, AI Agents, Databricks, Snowflake, dbt, Amplitude, Looker
**Posted:** 2026-06-11

> Staff-level analytics leader partnering with CMO and product leadership to architect AI-driven analytics agents and drive growth strategy across product and marketing. Requires 7+ years hands-on analytics experience and strong technical skills in SQL, Python, and causal measurement.

## Job Description

## Responsibilities
- 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.

## Requirements
- 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.

## Nice-to-Haves
- Experience in fintech, consumer tech, or data‑driven product organizations.
- Familiarity with modern data stacks (Databricks, Snowflake, dbt, Amplitude, Looker).

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