Senior Data Analyst, Clair

• 4–5+ years of hands-on experience in data analytics, ideally in a high-growth start-up, regulated environment
• Strong proficiency with BI tools like Tableau, PowerBI, Lightdash, Metabase, etc
• Experience with a scripting language like Python or R
• Fluent in SQL (translating business questions to queries, understanding joins and functions, and building data pipelines)
• Solid foundation in experimental design and statistical analysis to support decision-making and measure business impact
• Comfortable owning projects end-to-end and collaborating cross-functionally with stakeholders (e.g., product, finance, ops)

Desirable

• We’re looking for a top-tier analytics professional based in NYC 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
• 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
• 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