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SnowflakeSnowflakeMenlo Park, CA

Staff Analyst, GTM Analytics

The Staff Analyst, GTM Analytics partners with Marketing leadership to improve pipeline generation, conversion, campaign ROI, and data governance. The role requires 7+ years in analytics or BI, advanced SQL, dbt, Python, and experience with B2B marketing technology and AI-driven analytics workflows.

163k – 214k/yr
Hybrid7+ YOEData Analytics

About the role

Responsibilities

  • Partner with Marketing executives to align analytics initiatives with global business objectives, technical roadmaps, and investment decisions.
  • Surface insights that influence pipeline generation, conversion optimization, and campaign ROI.
  • Present complex analytical findings clearly and drive decisions beyond dashboard reporting.
  • Maintain data models, metrics, and pipelines supporting GTM reporting using SQL, dbt, and Snowflake.
  • Partner with Analytics Engineering and Data Engineering teams to build, debug, and extend models.
  • Transform workflows through AI systems and architect secure solutions that improve internal and stakeholder efficiency.
  • Ensure data integrity across Salesforce, Marketo, and Snowflake through automated testing and reconciliation.
  • Lead data infrastructure improvements and scalable governance practices.
  • Represent the company in the business intelligence space, champion analytics innovation, and engage with customers to share best practices.

Requirements

  • 7+ years of experience in Analytics or Business Intelligence within large-cap technology companies or high-growth SaaS environments.
  • Advanced SQL, hands-on dbt proficiency, and strong Python skills for data transformation, analysis, and AI-powered data applications.
  • Experience partnering directly with Marketing leadership to drive strategic decisions.
  • Understanding of pipeline generation, conversion rates, and campaign ROI.
  • Experience with or strong interest in AI-driven analytics workflows, including semantic models, text-to-SQL, Cortex Analyst, or similar natural-language data interfaces.
  • Experience using Python and data application frameworks such as Streamlit.
  • Proven experience with B2B marketing technology stacks, including Salesforce and Marketo, Eloqua, or HubSpot.
  • Familiarity with Airflow, dbt, Snowflake, and related data pipeline ecosystems.
  • Ability to present to, advise, and challenge VP-level stakeholders across cultures and time zones.

Work Arrangement

  • Hybrid role requiring three days in the office in Menlo Park.

Compensation

  • Annual salary range: $163,000–$214,200.

Skills

SQLdbtSnowflakePythonstreamlitSalesforceMarketoeloquaHubSpotAirflowcortex analystsemantic modelstext-to-sql

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