Own marketing data models, integrations, dashboards, and data-quality monitoring during a focused six-month engagement. The role requires 4+ years of B2B SaaS marketing analytics or operations experience, strong SQL and dbt skills, and familiarity with Snowflake, Salesforce, and Marketo.
104k – 125k/yr
Hybrid4+ YOEData Analytics
About the role
Responsibilities
Own the dbt and Sigma layer for the marketing funnel, from campaign member through MQL/MSL, meetings, and opportunities.
Resolve dependencies, fill model gaps, and document logic end to end.
Integrate ad platform spend data from Google and LinkedIn, GA4 traffic and conversion data, and Gong conversation and meeting objects into Snowflake.
Build and update marketing dashboards covering funnel-stage conversion, pipeline generation, SDR activity and MQL outcomes, and per-product ARR attribution.
Build quality-control and system-health monitoring across the marketing stack, including Marketo-to-SFDC sync health, lead-routing coverage, data freshness, and email-deliverability signals.
Partner with the internal data team and other GTM analysts to align on core GTM data models.
Produce a data dictionary with plain-language definitions of key marketing concepts and data-model semantics for team members and LLMs.
Requirements
4+ years of experience in marketing analytics or marketing operations at a B2B SaaS company.
Strong SQL skills and hands-on experience with dbt for data modeling and GitHub for version control.
Experience with Snowflake and a modern BI tool; Sigma is strongly preferred.
Working knowledge of Salesforce and Marketo data structures, including MQL workflows between systems.
Familiarity with marketing attribution concepts, including campaign-member models, multi-touch attribution, and lead-to-opportunity conversion.
Experience building and documenting data models for non-technical consumers.
Self-directed and comfortable working as an embedded contractor on a defined-scope engagement.
Compensation and Benefits
Six-month contract engagement.
Required hybrid schedule with at least three days per week—Monday, Tuesday, and Thursday—in the San Francisco headquarters.
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