Staff Analytics, Product & Marketing
Join Earnin as a Staff Analyst to drive user growth and engagement through AI-driven analytics in a hybrid role.
Posted by employer 3 months ago
First seen on Joblaze 3 days ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Collaborate with Product, Engineering, Marketing, and cross‑functional partners
- Build AI‑driven analytics agents
- Develop and maintain experimentation frameworks
- Design and implement measurement and modeling approaches
- Communicate insights clearly to technical and non‑technical audiences
Must have
- 7+ years in analytics, data science
- Strong technical skills in SQL, Python
- Experience building AI‑driven analytics workflows
- Solid background in product and growth analytics
- Experience with causal inference, uplift modeling
Nice to have
- Experience in fintech, consumer tech, or data‑driven product organizations
- Familiarity with modern data stacks
Practical constraints
- Hybrid position requiring in-office work 2 days a week
AI in the day-to-day
Build AI-driven analytics agents that automate workflows such as experimentation readouts and funnel diagnostics.
Requirements
- Experience
- 7+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In this role, the Staff Analyst at Earnin will focus on developing and implementing analytics strategies that enhance user growth and engagement through collaboration with cross-functional teams. Key skills include expertise in SQL, Python, and AI-driven analytics workflows, alongside a strong foundation in product and growth analytics. This position is ideal for a seasoned professional with over seven years of experience in analytics or data science, particularly within fintech or consumer tech environments. The role emphasizes both strategic vision and hands-on execution, making it suitable for someone who thrives in a dynamic, data-driven setting.
Joblaze insights
- Listed 3 days ago — first seen on Joblaze September 23, 2026. Last confirmed on Earnin's careers page September 25, 2026.
- Salary band is above the typical range for Data Science roles (median ~$170,000).
- Starts above 60% of 43 comparable staff data science roles in United States that list SQL we track (median $190,000 across 17 companies). See SQL salary trends
- SQL appears in 87.9% of 58 comparable staff data science roles in United States; Databricks appears in 1.7% of 58 comparable staff data science roles in United States.
Quick facts
- Is the Staff Analytics, Product & Marketing role remote?
- It's hybrid — Earnin expects some on-site time in Mountain View, US.
- What's the salary range?
- Earnin lists $215,000–$263,000 for this role.
- How much experience is required?
- At least 7 years of relevant experience for this Staff Analytics, Product & Marketing role.
- Where is the role based?
- Earnin is hiring for this position in Mountain View, US.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Amplitude, Databricks, Experimentation, Looker, Python.
- What seniority level is this role?
- Earnin targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Analytics, Product & Marketing role at Earnin.
From the original posting
About EarnIn
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.
Standard company text repeated across Earnin's postings is omitted here.