Clair is a New York-based mission driven digital banking platform that provides American workers with fee-free access to their earnings anytime via our Clair Debit Mastercard and FDIC-insured Spending and Savings accounts. Clair’s On-Demand Pay product is embedded within the digital or physical punch clocks of our HR technology partners, where American workers clock in and out every day. By giving workers control and access to their earnings anytime, Clair is bringing financial confidence to America's workforce.

Are you who we're looking for?

We’re looking for a top-tier analytics professional to deliver insights that drive growth. As a Senior Data Analyst at Clair, you’ll join a growing team of data practitioners who are passionate about bringing financial security to underserved communities by giving workers access to their earnings right when they need them. As a trusted thought partner to product and business teams, you’ll surface impactful insights supporting their goals. Through experimentation, analysis, modeling, and dashboard development, you’ll surface recommendations to enable Clair to reach millions of hourly workers and help them get paid on demand.

The ideal candidate will consider themselves a “full stack” data analyst with experience across the entire data pipeline, including data ingestion, processing, modeling, and visualization. This person will be comfortable with the analytics engineering workflow, mixing technical proficiency with the ability to engage stakeholders across the organization.

What will you do at Clair?

• Leverage data to drive user growth, identify trends, and influence product and business decisions
• Partner with business stakeholders across the organization to answer questions and test hypotheses
• Define and manage key metrics that inform strategic product, growth, and operational decisions, ensuring alignment with business goals
• Put data at the fingertips of stakeholders and enable them to independently explore and utilize data
• Build efficient data ingestion and transformation pipelines using tools like dbt
• Develop intuitive dashboards, memos, slides, and other visualizations that tell stories and inspire action
• Collaborate to brainstorm ideas, verify analyses, and review the work of your peers to ensure accuracy and quality

Qualifications

• 3–5 years of professional experience in the data analytics field
• Fluent in SQL (translating business questions to queries, understanding joins and functions, and building data pipelines)
• Experience with experimentation and statistical analysis to guide decision-making
• Passionate about building the best version of whatever you’re working on

Things We Consider a Plus

• Experience with the modern data stack, including Snowflake, dbt, Tableau
• Experience with a scripting language like Python or R
• Interest in financial systems and consumer behavior
• Experience with machine learning or statistical modeling
• Experience in a high-growth start-up environment