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ClayClayNew York, NY

Data Analyst

The Data Analyst will build analytics models, metrics, dashboards, and analyses that help Product and Go-to-Market teams understand usage and business performance. The role requires strong SQL, experience with dbt or similar workflows, BI proficiency, and at least two years of related experience.

130k – 170k/yr
Hybrid2+ YOEData Analytics

About the role

Responsibilities

  • 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 in dbt, and surface them through Sigma dashboards to help teams understand product usage, performance, and change over time.
  • Use SQL as the primary tool, with Python or R in a notebook environment such as Hex when helpful, to investigate trends, anomalies, and product behavior and connect analyses to business questions.
  • Support reverse ETL workflows using Census to make modeled data actionable in the tools teams use daily.
  • Partner with cross-functional teams to turn ambiguous questions into clear, useful analytical outputs.

Requirements

  • Strong SQL fundamentals, including joins, CTEs, window functions, and clear query structure.
  • Experience building analytical data models or metrics tables using dbt or similar analytics-engineering workflows.
  • Comfort working with BI tools such as Sigma, Looker, Tableau, or Mode.
  • Strong analytical intuition and the ability to ask effective questions, explore data thoughtfully, and synthesize clear conclusions.
  • Clear communication with technical and non-technical partners.
  • Curiosity about product usage and business performance, with a focus on understanding why things happen.
  • 2+ years of full-time experience in a related role.

Nice to Have

  • Experience with Snowflake or similar cloud data warehousing tools.
  • Ability to use Python or R for deeper or more efficient analysis.
  • Familiarity with Hex or other notebook-based analysis tools.
  • Familiarity with Census or other reverse ETL tools.
  • Experience in a product-led or B2B SaaS environment.

Skills

SQLSnowflakedbtSigmaPythonRHexcensusLookerTableaumodereverse etl

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