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GTM Data Analyst

Job in New York, New York County, New York, 10261, USA
Listing for: Clay
Full Time position
Listed on 2026-04-29
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Mining
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: New York

We’re looking for a GTM Data Analyst to help make Clay data-driven from the ground up. You'll join a team of experienced data scientists and analytics engineers, while partnering closely with Product and Go-to-Market teams to build foundational data models, dashboards, and analyses that teams rely on every day.

What you’ll do
  • 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
    • Build and iterate on metrics and tables in dbt, and surface them through dashboards in Sigma to help teams understand product usage, performance, and change over time.
  • Explore data deeply to answer open-ended questions
    • Use SQL as your primary tool, with Python or R in a notebook environment like Hex when helpful, to investigate trends, anomalies, and product behavior and connect analyses back to real business questions.
  • Help operationalize data
    • Support reverse ETL workflows using Census, helping 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.
What we’re looking for
  • 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
  • 2+ years of full-time work experience in a related role
Nice to have
  • 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
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