About the role
Drive sales execution, pipeline health, and revenue growth with metrics and analytics.
- •Embedded with GTM, the Senior Data Scientist owns metrics and analytics that drive sales execution, pipeline health, and revenue growth.
- •Key Responsibilities Own GTM metrics and reporting: pipeline, quota attainment, conversion, sales cycle, territory economics.
- •Partner with sales leadership and rev-ops to translate strategy into measurement and cadences.
- •Build data foundations: account-manager tracking, territory/quota models, instrumentation.
- •Run deep-dives (win/loss, lead source, segmentation) to inform GTM resource allocation.
- •Requirements 5+ years in data science/analytics with 3+ in GTM/RevOps or sales analytics.
- •Advanced SQL and proficiency in Python for analytics and modeling.
- •Familiarity with Salesforce data, pipeline mechanics, quota/territory models.
- •Experience with dbt and modern analytics stacks; ability to partner with data engineering.
Tech stack
SQLPythondbtSalesforce
Match insights
Tech:SQL, Python, dbt, Salesforce
Level:Senior