# Marketing Data Analyst - Contractor

**Company:** [Benchling](https://hotfix.jobs/companies/benchling)
**Location:** San Francisco, CA
**Role:** Data Analytics
**Salary:** $104k – $125k/yr
**Experience:** 4+ years
**Skills:** SQL, dbt, GitHub, Snowflake, Sigma, Salesforce, Marketo, ga4, Gong, marketing attribution
**Posted:** 2026-08-03

> 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.

## Job Description

## 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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