The ad says“Experience with Snowflake and a modern BI tool. Sigma strongly preferred”
The ad says“Strong SQL skills and hands-on experience with dbt for data modeling and github for version control”
The ad says“Strong SQL skills and hands-on experience with dbt for data modeling and github for version control”
The ad says“Strong SQL skills and hands-on experience with dbt for data modeling and github for version control”
The ad says“Familiarity with marketing attribution concepts: campaign member models, multi-touch attribution, and lead-to-opportunity conversion”
The ad says“Working knowledge of Salesforce and Marketo data structures; you understand what an MQL is and how it moves between systems”
The ad says“Working knowledge of Salesforce and Marketo data structures; you understand what an MQL is and how it moves between systems”
The ad says“Experience with Snowflake and a modern BI tool. Sigma strongly preferred”
The ad says“Strong SQL skills and hands-on experience with dbt for data modeling and github for version control”
Values
The ad says“Experience with Snowflake and a modern BI tool. Sigma strongly preferred”
Our marketing data layer was built incrementally over several years, and it shows
The models, dashboards, and pipelines powering our funnel reporting, campaign attribution, and SDR workflows have accumulated patches and gaps that are increasingly holding us back particularly as we push into AI-driven marketing tooling that requires clean, well-documented data to work reliably
We’re looking for a mid-level marketing data analyst for a focused 6-month engagement embedded with the Marketing Operations team
You’ll own the sprint to clean up the underlying data models, ship the core dashboards we’ve been scoping, integrate new data sources, and document everything well enough that the team and our AI tools can self-serve when the engagement ends
Own the dbt + Sigma layer for the marketing funnel, from campaign member to MQL/MSL, meeting and opportunities. Resolve dependencies, filling model gaps, and documenting logic end-to-end
Integrate new data sources into Snowflake: ad platform spend (Google, LinkedIn), GA4 traffic and conversion data, and Gong conversation and meeting object
Build and update marketing dashboards: funnel stage conversion, pipeline generation (effort, health, velocity), SDR activity and MQL outcomes, and per-product ARR attribution. Integrating new data sources into them
Build quality control and system health monitoring across the marketing stack: Marketo to SFDC sync health, lead routing coverage, data freshness, and email deliverability signals
Partner with our internal data team and other GTM analysts to align on core GTM data models
Produce a data dictionary: plain-language definitions of key marketing concepts and data model semantics written for both team and LLM consumption
Benefits
Competitive salary and equity
Robust healthcare benefits
Family-forming benefits
Four months of fully paid parental leave
Retirement benefits
Preferred experience
Working knowledge of Salesforce and Marketo data structures; you understand what an MQL is and how it moves between systems
Familiarity with marketing attribution concepts: campaign member models, multi-touch attribution, and lead-to-opportunity conversion
Self-directed and comfortable working as an embedded contractor on a defined-scope engagement
Experience with Snowflake and a modern BI tool. Sigma strongly preferred
4+ years 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 building and documenting data models for non-technical consumers
