Data Analyst

Data Analyst

Join to apply for the Data Analyst role at Clay

This range is provided by Clay. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

Our mission is to help organizations turn any growth idea into reality. We see growth as a creative practice, not a formula. Finding and reaching your best‑fit customers takes unique ideas and constant iteration. As AI makes execution faster and tactics easier to copy, creativity is the only lasting advantage. We're already helping thousands of customers — including Anthropic, Waste Management, Figma, and Ramp — go to market with unique data, signals, and AI research.

In 2025, we crossed $100M in revenue and raised a $100M Series C at a $3.1B valuation, backed by world‑class investors including Sequoia, Capital

G, and First Round. We also completed our first employee tender offer and launched a community equity round, for our customers, agency partners, and club members.

• Build and own analytics data models – write clean, maintainable SQL against Snowflake to power core metrics, dashboards, and analytical workflows.
• Build and iterate on analytics metrics and tables – develop metrics and tables in dbt and surface them through dashboards in Sigma.
• Explore data deeply to answer open-ended questions – use SQL (primary tool) with Python or R in Hex when helpful to investigate trends, anomalies, and product behavior.
• Help operationalize data – support reverse ETL workflows using Census to make modeled data actionable in the tools teams use day‑to‑day.
• Translate questions into insight – partner with cross‑functional teams to turn ambiguous questions into clear, useful analytical outputs.

• Strong SQL fundamentals – comfortable with joins, CTEs, window functions, and clear query structure.
• Experience building analytical data models or metrics tables using dbt or similar analytics‑engineering workflows.
• Comfortable working with BI tools like Sigma, Looker, Tableau, Mode, or similar.
• Strong analytical intuition – able to ask the right questions, explore data thoughtfully, and synthesize clear, well‑reasoned conclusions.
• Clear communicator who can share insights with technical and non‑technical partners.
• Deeply curious about product usage and business performance – motivated to go beyond the what to understand the why, without getting lost in rabbit holes.

• Experience with Snowflake or other similar cloud data warehousing tools.
• Comfortable using SQL as the primary analysis tool, with the ability to use Python or R when helpful for deeper or more efficient analysis.
• Familiarity with Hex or other notebook‑based analysis tools.
• Familiarity with Census or other reverse ETL tools.
• Prior experience in a product‑led or B2B SaaS environment.

Entry level

Full-time

Information Technology

Software Development

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