Director Marketing Analytics

About the role

The Director of Marketing Analytics will serve as the intelligence backbone of Marqeta's go-to-market engine. Reporting to the Chief Marketing Officer, this role is responsible for defining and owning Marqeta's B2B marketing attribution strategy, building the analytical infrastructure and team, and partnering across various functions to influence marketing investments and growth.

Responsibilities

• Define and own Marqeta's B2B marketing attribution strategy and partner with RevOps and Finance to land a measurement framework that Sales and the C-suite trust and use
• Build the connective tissue between marketing programs, media investments and revenue outcomes: pipeline sourced, pipeline influenced, deal velocity, win rate by segment, and CAC by channel
• Lead a team of marketing analysts, establishing operating rhythms, analytic standards, and career development frameworks
• 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: translate complex data into clear narratives about where marketing is creating enterprise value
• Develop and maintain the marketing data infrastructure in partnership with Data Engineering, ensuring clean, unified data across Salesforce, Marketo, paid channels, and intent platforms
• Develop forecasting models that project Enterprise NAL pipeline contribution from marketing investments, informing quarterly planning and headcount decisions
• Lead the marketing org's AI and automation strategy for analytics, identifying where machine learning, predictive scoring, and AI-generated insights can accelerate speed-to-insight
• Establish a culture of experimentation by designing statistically valid tests across channels and campaigns, and building institutional knowledge from results

Requirements

10+ years in Enterprise B2B marketing analytics, GTM analytics, or growth analytics, with at least 3 years in a people leadership role

Deep expertise in B2B attribution modeling: you understand the fundamental challenges of attributing revenue in long sales cycles with multiple buying group touches, and you have built models that balance rigor with organizational adoption

Proven ability to influence strategy: you don't just report what happened, you shape what happens next. You've used data to shift budget (such as Events, Paid Media, etc), change channel mix, or redirect a program — and you can point to the outcome

Strong proficiency in SQL and experience working directly with warehouse data to validate models, investigate anomalies, and support ad hoc analysis

Strong proficiency in statistical modeling, regression analysis, and cohort analysis — you know when to use a model and when a well-structured spreadsheet is more persuasive

Comfortable operating in ambiguity, building programs from scratch, and operating without a fully defined playbook

Familiarity with AI/ML applications in marketing analytics — predictive lead scoring, churn modeling, anomaly detection — and a point of view on where these create real leverage vs. hype

Experience in fintech, payments, embedded finance, SaaS, or financial services strongly preferred

Qualifications

Strong communication skills who can translate analytical complexity into executive-level narratives without losing nuance

Proven ability to influence strategy: you don't just report what happened, you shape what happens next. You've used data to shift budget (such as Events, Paid Media, etc), change channel mix, or redirect a program — and you can point to the outcome

Skills

Experience with complex B2B GTM motions including ABM, enterprise sales cycles, partner-influenced deals, and multi-stakeholder buying journeys

Strong command of how marketing fits into the full revenue engine — you can speak fluently with Sales, Finance, and RevOps about pipeline, coverage ratios, CAC, LTV, and go-to-market efficiency

Proven ability to influence strategy: you don't just report what happened, you shape what happens next. You've used data to shift budget (such as Events, Paid Media, etc), change channel mix, or redirect a program — and you can point to the outcome

Strong proficiency in SQL and experience working directly with warehouse data to validate models, investigate anomalies, and support ad hoc analysis

Strong proficiency in statistical modeling, regression analysis, and cohort analysis — you know when to use a model and when a well-structured spreadsheet is more persuasive

Comfortable with statistical modeling, regression analysis, and cohort analysis — you know when to use a model and when a well-structured spreadsheet is more persuasive

Experience in fintech, payments, embedded finance, SaaS, or financial services strongly preferred

Familiarity with AI/ML applications in marketing analytics — predictive lead scoring, churn modeling, anomaly detection — and a point of view on where these create real leverage vs. hype

Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States: National, Premium, and Premium Plus.

Pay

The new-hire base salary range for this position is: National: $200,000 - $250,000Premium: $207,000 - $258,800Premium Plus: $214,100 - $267,600

Schedule

We offer a flexible schedule to accommodate your needs. The role can be performed remotely within the United States or from our Oakland, CA or New York City offices. We’d love for you to join us!