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Mid LevelFull-timePythonGoAI
Salary Range
$76,500 - $103,500 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a GTM Data Scientist to help make Clay data-driven from the ground up. You'll join a team of experienced data scientists and analytics engineers, partnering with Product and Go-to-Market teams to build foundational data models, dashboards, and analyses that teams rely on every day.
Key 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, surfacing them through dashboards in Sigma
- →Explore data deeply to answer open-ended questions using SQL, Python, or R
- →Support reverse ETL workflows using Census to make modeled data actionable
- →Partner with cross-functional teams to turn ambiguous questions into clear analytical outputs
Requirements
- ✓Strong SQL fundamentals with experience in joins, CTEs, window functions
- ✓Experience building analytical data models or metrics tables using dbt
- ✓Comfortable working with BI tools like Sigma, Looker, Tableau, or Mode
- ✓Strong analytical intuition to ask the right questions and synthesize conclusions
- ✓Clear communicator who can share insights with technical and non-technical partners
- ✓Deeply curious about product usage and business performance
- ✓Summary Bullets
- ✓Build and own analytics data models using SQL and dbt
- ✓Create metrics and dashboards in Sigma to track product usage
- ✓Investigate trends and anomalies using SQL, Python, or R
- ✓Support reverse ETL workflows using Census
- ✓Partner with cross-functional teams to translate questions into insights
- ✓Strong SQL fundamentals and experience with dbt
- ✓Comfortable working with BI tools
- ✓Strong analytical intuition and clear communication skills
- ✓Requirement Bullets
- ✓Strong SQL fundamentals with experience in joins, CTEs, window functions
- ✓Experience building analytical data models or metrics tables using dbt
- ✓Comfortable working with BI tools like Sigma, Looker, Tableau, or Mode
- ✓Strong analytical intuition to ask the right questions and synthesize conclusions
- ✓Clear communicator who can share insights with technical and non-technical partners
- ✓Deeply curious about product usage and business performance
- ✓Experience with Snowflake or other cloud data warehousing tools
- ✓Benefit Bullets
- ✓[]
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