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About the Role

Lead cross-functional projects and manage senior marketing stakeholders. The ideal candidate will have a deep understanding of marketing and revenue analytics and be able to effectively communicate complex data to key stakeholders. We are looking for someone comfortable operating at a high pace of change that matches the speed of our business.

Responsibilities

• Own the marketing analytics stack—build and maintain dashboards and reports that track pipeline, campaign performance, funnel conversion, and ROI.
• Create business and technical requirements and documentation and leading marketing team’s enablement.
• Develop and maintain attribution models, lead scoring logic, and funnel stage definitions in partnership with MOps.
• Lead cross-functional projects to develop and implement new marketing initiatives.
• Go beyond "what happened" to determine "why it happened" and "what we should do next."
• Serve as a strategic partner to marketing leaders, proactively diagnosing business health and prescribing specific operational interventions without waiting for top-down direction.
• Establish and enforce data governance standards for the marketing organization to ensure that Finance, Sales, and Marketing are aligned on a single source of truth.
• Drive the adoption of self-service analytics by designing intuitive reporting environments that allow business teams to answer their own questions at scale.
• Ensure data quality and integrity across marketing data sources; troubleshoot discrepancies and build validation checks.
• Conduct deep-dive analyses on campaign effectiveness, channel mix, audience segmentation, and pipeline contribution.
• Build cohort analyses, regression models, or predictive models to identify what drives conversion and retention across marketing-sourced pipeline.
• Create weekly, monthly and quarterly performance reports for marketing leadership, including executive-ready summaries with clear takeaways.
• Leverage reverse funnel approach to build the Inbound demand model in collaboration with the Demand Gen and Finance teams.

Requirements

• 6-8 years of quantitative experience in Marketing & Data Analytics, Business Operations, or Management Consulting with 2-3 years of people management experience.
• Experienced working in a B2B business supporting CMO, Digital and Field Marketing teams.
• Built multi-touch attribution, predictive, and demand gen models.
• Exceptional attention to detail.
• A self-directed mindset with the ability to ruthlessly prioritize workstreams and navigate unstructured business problems with minimal supervision.
• Expertise in translating complex analyses into concise, executive-level narratives that drive immediate strategic decisions.
• Proficient in Google Sheets, including advanced formulas, pivot tables, vlookup, data validation, conditional formatting and scripting.
• Expert level SQL skills; capable of data modeling from scratch using DBT/GitHub (ideally 2+ years of experience building net new data models).
• Experience with Salesforce, Marketo, GA4, Amplitude, Thoughtspot, SLG & PLG GTM Strategies and API management.

Skills

• Marketing Analytics
• Revenue Analytics
• Data Analysis
• Dashboarding
• Reporting
• Attribution Modeling
• Lead Scoring
• Data Governance
• Self-Service Analytics
• Data Quality Assurance
• Cohort Analysis
• Regression Modeling
• Predictive Modeling
• Google Sheets
• SQL
• DBT
• GitHub
• Salesforce
• Marketo
• GA4
• Amplitude
• Thoughtspot

Experience Level

• Senior
• 6-8 years quantitative experience
• 2-3 years people management experience

Salary/Compensations

• $105,450—$234,400 USD