Marketing Data Analyst - Contractor

BenchlingSan Francisco, CA
$50 - $60Onsite

About The Position

Benchling is seeking a mid-level Marketing Data Analyst for a focused 6-month contract engagement, embedded with the Marketing Operations team. The role involves cleaning up underlying data models, shipping core dashboards, integrating new data sources, and documenting processes to support AI-driven marketing tooling. The company is rebuilding biotech for the AI era, with scientists using Benchling to design experiments, capture structured data, and run AI agents and models. AI fluency is core to how they work, and candidates will participate in an AI-focused exercise during the interview process.

Requirements

  • 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 with Snowflake and a modern BI tool. Sigma strongly preferred.
  • 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.
  • Experience building and documenting data models for non-technical consumers.
  • Self-directed and comfortable working as an embedded contractor on a defined-scope engagement.

Nice To Haves

  • Sigma BI tool experience is strongly preferred.

Responsibilities

  • 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.
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