Job Description

Data Analyst

at Rain Instant Pay

Remote, U.S

About Rain

Rain is the fastest-growing earned wage access (EWA) fintech in the U.S. We serve 2.5 million employees and are backed by top investors like QED and Prosus. We have raised nearly $400M in funding, including the largest Series A in fintech history, and recently closed our Series B to fuel our next stage of hypergrowth.

Our platform helps people avoid unnecessary financial stress while helping employers boost retention, productivity, and employee well-being. We're driving a movement toward financial freedom, and we are just getting started.

About the Business Operations & Analytics Team

We are seeking a highly analytical and motivated Data Analyst to join our Business Operations & Analytics team. This isn't just a reporting role; you will be the storyteller of our data. You will dive deep into our product, user, and transactional data to uncover critical insights that will shape our strategy, guide product development, and optimize our growth engine. You will work cross-functionally with product, engineering, marketing, and leadership to answer our most pressing questions and turn complex data into actionable recommendations.

You will be reporting to the Head of Business Operations & Analytics with the option to work remotely or in-person in our downtown Nashville office.

What You’ll Do

• Analyze and interpret large, complex datasets
• Define, build, and monitor Key Performance Indicators (KPIs)
• Build, maintain, and iterate on Looker dashboards and underlying LookML data models to ensure scalable, accurate, and self-serve reporting across the organization
• Manage and version-control data models, SQL scripts, and analytical code using Git/GitHub, following engineering best practices such as branching, pull requests, and code reviews.
• Conduct deep-dive analyses on user behavior, funnels, and customer segmentation
• Design, execute, and analyze A/B tests
• Measure campaign effectiveness, analyze Customer Acquisition Cost (CAC), and model Lifetime Value (LTV)
• Work with Engineering to ensure data accuracy and reliability
• Translate complex findings into clear narratives for technical and non-technical stakeholders

Who You Are

• You have 2-5 years of experience in a data analyst or business intelligence role
• You have expert-level SQL, capable of writing complex, optimized queries (e.g., in Snowflake)
• Proven experience creating dashboards using tools like Looker, Apache Superset, or similar
• Proficiency in Python (Pandas, NumPy, Matplotlib) for statistical analysis
• Strong understanding of statistical principles (e.g., hypothesis testing) and experience with A/B testing

Preferred Qualifications

• Experience in a fintech, banking, or high-growth startup environment
• Familiarity with data warehousing concepts (e.g., Snowflake)
• Exposure to modern data stack tools (dbt, Fivetran)

Compensation

$70,000 - $90,000

Note this is a range and we take in a variety of factors when determining total compensation for the position.

How we care for our team

Along with competitive salaries, Rain offers great benefits including:

• Flexible PTO
• Medical, Dental, Vision, Life, Disability coverage
• Parental leave
• Monthly stipend
• Equity options

Diversity, Equity and Inclusion Commitments

As part of our dedication to the diversity of our workforce, Rain is committed to Equal Employment Opportunity and does not discriminate based on race, religion, color, national origin, ethnicity, gender, sex (including pregnancy), protected veteran status, age, disability, sexual orientation, gender identity, gender expression, or any unlawful criterion existing under applicable federal, state, or local laws. If you need assistance or accommodation due to a disability, you may contact us at HR-US@rain.us.

What’s Next

Ensuring a smooth and enjoyable candidate experience is critical for us. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

Job Tags

Full time, Work at office, Local area, Remote work, Flexible hours

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