Senior Manager, Marketing Analytics
Leads marketing analytics strategy by owning attribution, full-funnel measurement, forecasting, dashboards, experimentation, and AI/ML-driven insights. The role requires 8+ years of overall experience, deep B2B SaaS marketing analytics expertise, and advanced proficiency with Tableau, Salesforce, Snowflake, and Excel.
About the job
Responsibilities
- Drive attribution modeling and full-funnel measurement across all marketing channels.
- Translate data into actionable insights and recommendations for marketing leaders.
- Create forecasts and scenario models for annual budget planning and incremental funding requests.
- Build and maintain self-service Tableau dashboards for brand, demand generation, digital marketing, and strategic events.
- Partner with Field Analytics, Strategy & Planning, Marketing Leadership, and Data teams on performance narratives and QBRs.
- Partner with Marketing Data Operations to maintain data quality across marketing technology systems.
- Implement AI/ML capabilities for predictive modeling and automated insights.
- Design and support marketing experiments with rigorous testing and statistical validation.
- Mentor junior analysts and establish best practices across the analytics function.
- Stay current with analytics tools and methods.
Requirements
- 8+ years of experience in marketing, analytics, operations, or business intelligence in B2B SaaS.
- 4+ years of marketing analytics experience, including campaign performance, demand generation, field marketing, and ABM measurement.
- Track record of using data to drive business strategy and budget decisions.
- Experience across enterprise sales, product-led growth, and partner marketing models.
- Deep expertise in marketing attribution modeling and multi-touch measurement.
- Ability to communicate complex insights to executives and influence decisions.
- Strong understanding of martech infrastructure, including database management, data hygiene, API integrations, advertising platforms, CRM systems, analytics tools, and data warehouses.
- Expert-level Tableau, Salesforce, Snowflake, and Excel skills.
- Experience with statistical analysis, A/B testing, and experimental design.
- Ability to influence and guide others without formal management authority.
Nice-to-haves
- AI/ML experience, including predictive modeling, propensity scoring, or marketing mix modeling.
- Google Analytics 4 or Adobe Analytics expertise.
- SQL proficiency.
- Growth marketing or demand generation experience.
- Privacy-first measurement, DSPs, or programmatic advertising experience.
- Python, R, or similar statistical tools.
- Advanced degree in business administration, analytics, economics, or a related field.
Compensation and Benefits
- Annual base salary range: $170,000–$233,000 USD.
- Compensation may include equity, bonus, health, dental and vision insurance, 401(k), flexible spending account, and paid leave, including PTO and parental leave.
Skills
Marketing Attribution, Tableau, Salesforce, Snowflake, Excel, Statistical Analysis, A/B Testing, Experimental Design, AI/ML, Predictive Modeling, Google Analytics 4, Adobe Analytics, SQL, Python, R
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