Senior Data Analyst, Product Insights

Clair•New York, NY

1d•$150,000 - $157,000•Hybrid

About The Position

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.

Requirements

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)

Nice To Haves

Interest in financial systems and consumer behavior
Experience with machine learning or statistical modeling

Responsibilities

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