Director Marketing Analytics
New
M
MarqetaFintech, Payments
This role can be performed remote within the United States or from our Oakland, CA or New York City offices.Full-TimeDirector
SalaryNational: $200,000 - $250,000; Premium: $207,000 - $258,800; Premium Plus: $214,100 - $267,600
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Job Details
- Experience
- 10+ years in Enterprise B2B marketing analytics, GTM analytics, or growth analytics, with at least 3 years in a people leadership role
- Required Skills
- SQLSalesforceSnowflakeTableauBigQueryLooker
Requirements
- 10+ years in Enterprise B2B marketing analytics, GTM analytics, or growth analytics.
- At least 3 years in a people leadership role.
- Experience with complex B2B GTM motions including ABM, enterprise sales cycles, partner-influenced deals, and multi-stakeholder buying journeys.
- Deep expertise in B2B attribution modeling.
- Command of revenue engine metrics: pipeline, coverage ratios, CAC, LTV, and go-to-market efficiency.
- Proficiency with Salesforce, Marketo (or HubSpot), BI tools (Tableau, Looker, or equivalent).
- Experience with data warehousing (Snowflake, BigQuery, or similar).
- Familiarity with ABM/GTM software (Demandbase, 6Sense, etc).
- Strong proficiency in SQL.
- Comfortable with statistical modeling, regression analysis, and cohort analysis.
- Strong communicator who can translate analytical complexity into executive-level narratives.
- Familiarity with AI/ML applications in marketing analytics.
Responsibilities
- Define and own Marqeta's B2B marketing attribution strategy and partner with RevOps and Finance to land a measurement framework.
- Build the connective tissue between marketing programs, media investments and revenue outcomes.
- Lead a team of marketing analysts, establishing operating rhythms, analytic standards, and career development frameworks.
- Serve as a senior strategic voice in GTM planning, bringing data-driven POVs to budget allocation and channel strategy.
- Partner with Demand Generation, Product Marketing, and Brand teams to design measurement frameworks and testing protocols.
- Own executive-level marketing reporting to the CMO, CFO, and Board.
- Build and maintain the marketing data infrastructure in partnership with Data Engineering.
- Develop forecasting models that project Enterprise NAL pipeline contribution from marketing investments.
- Lead the marketing org's AI and automation strategy for analytics.
- Establish a culture of experimentation by designing statistically valid tests across channels and campaigns.
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