Marketing Analytics Manager

Establish metrics for audience growth, acquisition, activation, engagement, usage, pipeline and revenue Ingest and model data across Salesforce, HubSpot, Google Analytics, advertising platforms, web, email, product and third-party sources Create a medallion architecture connecting prospect and customer journeys from first touch through signup, onboarding, activation and expansion Develop audience and segmentation frameworks based on customer attributes, intent, engagement and product behavior Own lifecycle marketing analytics across web, email, in-product and other lifecycle touchpoints Identify opportunities to improve the journey from acquisition and signup through onboarding and growth Establish frameworks for measuring brand awareness and channel effectiveness Connect conversion and customer signals back into Google Ads and LinkedIn, including offline conversions Design and implement A/B experiments, incrementality testing and multi-touch attribution Collaborate with Demand Gen, Field Marketing, MOps, Product Marketing, GTM, Finance, Product and Engineering Requirements 5+ years of experience in marketing analytics, growth analytics, product analytics, data science, or another quantitative role, ideally supporting B2B, developer-focused, API, or usage-based products Deep SQL fluency and strong analytical skills, with experience working with large, event-level datasets and turning ambiguous business questions into decision-ready analysis Ability to connect data across marketing, CRM, web, SEO/AEO and product systems to understand customer journeys Experience with paid ad platforms such as Google, LinkedIn and X; how to measure performance and optimize Hands-on experience with GTM and marketing systems such as Salesforce, HubSpot, and Google Analytics Experience building data pipelines and models with a modern data stack such as Airbyte, Fivetran, dbt, BigQuery and/or Databricks Comfort working with APIs, automation and integration tools such as n8n or Zapier Experience with AI/ML products and familiarity with inference and training metrics, including how technical product usage can inform customer lifecycle measurement and customer value Experience with usage-based products, developer platforms or APIs Experience developing multi-touch attribution, incrementality measurement, media mix models or other approaches for understanding Marketing's contribution across a complex customer journey Experience implementing offline conversion pipelines or feeding first-party conversion and customer signals into advertising platforms Unrestricted work authorization in the United States Ability to work onsite Tuesday-Thursday at the San Francisco or New York office Core Competencies Demonstrates expertise in marketing analytics, growth analytics, and product analytics, with a strong focus on data modeling and audience segmentation. Proficient in leveraging tools like SQL, Salesforce, and Google Analytics to optimize customer journeys and measure marketing effectiveness. Highest-signal resume keywords 5+ Years Experience In Marketing Analytics Deep SQL Fluency Experience With Google Ads And LinkedIn Hands-On Experience With Salesforce And HubSpot Experience Building Data Pipelines With Modern Data Stack ATS Optimization Keywords Hard Skills Marketing Analytics Growth Analytics Product Analytics Data Science SQL Data Modeling Multi-Touch Attribution Incrementality Measurement Audience Segmentation A/B Testing Soft Skills Analytical Skills Collaboration Industry Keywords B2B Developer-Focused API Usage-Based Products Customer Journey Lifecycle Marketing Brand Awareness Channel Effectiveness Offline Conversion Pipelines Customer Value Tools & Technologies Salesforce HubSpot Google Analytics Airbyte Fivetran Dbt BigQuery Databricks N8n Zapier #J-18808-Ljbffr