THE WORK:We are growing, and so is the breadth and depth of our marketing programs, with AI at the core of how we scale. We are looking for a highly motivated, diligent, and data-driven Senior Marketing Analytics Manager to join our Marketing Operations team. Reporting into the Director, Marketing Operations and Demand Generation, this role will serve as the analytical backbone of our growth marketing engine - leading the measurement, visualization, and insights infrastructure that drives smarter investment decisions and executive-level confidence in our marketing performance.
In this role, you will own analytics and reporting across all growth marketing functions, from campaign performance to pipeline attribution. You'll partner closely with Growth Marketing, Finance, RevOps, and other cross-functional teams to ensure data is accurate, accessible, and actionable across the full funnel. You'll also be a practitioner and champion of AI-powered tools - using them to automate workflows, accelerate insight generation, and elevate the sophistication of our marketing measurement at scale.
You'll use data to continuously improve reporting efficiency, forecast accuracy, and budget allocation decisions, helping ensure our marketing analytics engine drives measurable impact on pipeline and revenue.
WHAT YOU'LL DO:- Own analytics and end-to-end measurement across all growth marketing functions, ensuring consistent and actionable reporting from spend to revenue.
- Lead the visualization and reporting infrastructure across growth marketing, translating complex data into clear, compelling dashboards and narratives for stakeholders at all levels.
- Lead pipeline attribution, ROI, CAC, LTV, and Ad spend distribution analyses to inform investment decisions, and partner with Growth Marketing, Finance, and RevOps on spend pacing and forecasting.
- Evolve attribution modeling and performance measurement frameworks, using AI and machine learning to improve accuracy and scalability.
- Apply AI-powered tools and predictive modeling to surface proactive insights, identify trends, and support faster, more confident decision-making across the marketing team.
- Empower experimentation programs with thorough data-driven insights, including A/B testing and lift analyses.
- Partner with the RevOps, Business Intelligence and Marketing Operations teams to use Salesforce, Tableau, MCI and other platforms, to build reporting that connect spend to pipeline and revenue.
- Identify opportunities to automate reporting and analytics workflows using AI to increase efficiency and reduce manual effort.
- Ensure data quality and integrity across CRM and marketing systems.
WHAT YOU'LL BRING: - 5+ years of experience in marketing analytics, growth analytics, or a related field
- Deep expertise in growth marketing measurement methodologies across the funnel
- Hands-on experience with Salesforce CRM and marketing data pipelines
- Familiarity with AI and machine learning concepts as applied to marketing analytics, such as predictive modelling, anomaly detection, or automated insights
- Strong proficiency in data visualization tools (e.g., Tableau, Looker, or similar)
- Experience with attribution modeling, media mix modeling, and/or incrementality testing
- Proficiency in SQL; experience with Python or R is a plus
- Proven track record in leading forecasting and budget analysis in partnership with Finance and Revenue Operations
- Excellent communication skills with the ability to present complex data clearly to both technical and executive audiences
- Strong cross-functional collaboration skills - you're as comfortable in a strategy meeting as you are in a data model
For positions that will be based in CA, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant's experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions.
CA Annual Base Salary Range
$170,000-$210,000 USD
Benefits listed above are for full-time employees.
