Responsibilities

• Analyze campaign, digital, event, ABM, product marketing, customer marketing, and demand generation performance.
• Write complex SQL queries to extract, transform, and analyze data across multiple systems.
• Build attribution, funnel, and conversion analyses that drive marketing investment decisions.
• Partner with marketing leaders to define success metrics and optimize program performance.
• Maintain reusable definitions in markdown-based documentation and other shared knowledge assets to support team enablement and skill-building.
• Conduct ad hoc analyses to answer critical business questions and support strategic initiatives.
• Partner with data engineering, RevOps, and business systems teams to ensure data quality and governance.
• Validate data accuracy and maintain trust in executive reporting.
• Design and maintain executive-level marketing performance frameworks, dashboards, and reporting.
• Develop KPIs and measurement methodologies that connect marketing activities to pipeline, revenue, customer growth, and business outcomes.

Requirements

• 5+ years of experience in marketing analytics, business analytics, revenue operations, or related analytical roles.
• Expert-level SQL skills with the ability to work across large, complex datasets.
• Experience building executive-facing dashboards, scorecards, and measurement frameworks.
• Strong understanding of B2B marketing metrics, funnel analytics, pipeline generation, attribution, and revenue measurement.
• Demonstrated ability to influence decision-making through data-driven storytelling.
• Experience using AI tools and technologies to improve analytical workflows and business outcomes.
• Advanced proficiency in BI platforms such as Tableau, Power BI, Looker, Sigma, or similar.
• Excellent communication skills with the ability to present to executive leadership.

Preferred

• Experience in SaaS, subscription, or recurring revenue business models.
• Familiarity with marketing automation, CRM, and customer data platforms.
• Experience with forecasting, predictive analytics, and statistical modeling.
• Knowledge of Python, dbt, or modern data stack technologies.
• Experience supporting CMO, CRO, or executive leadership teams.

Benefits

• Competitive compensation, variable bonus and performance reward opportunities, and retirement programs
• Medical, dental and vision insurance
• Generous, flexible time off
• Paid holidays, “wellness” days and company wide end of year break
• 6 months fully paid parental leave
• Learning & Development stipend
• Opportunities to volunteer and give back, including charitable donation match
• Free resources and support for your mental wellbeing