Marketing Analytics Manager

Jobtailor

California (MO)

On-site

USD 120,000 - 180,000

Full time

2 days ago

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Job summary

Jobtailor is seeking a senior marketing analytics professional to own lifecycle analytics across web, email, in-product, and other touchpoints. You will connect data from Salesforce, HubSpot, Google Analytics, and ad platforms to optimize customer journeys and measure marketing effectiveness.

Responsibilities include building audience segmentation, designing data pipelines with Airbyte/Fivetran/dbt/BigQuery, and collaborating with Demand Gen, Product Marketing, and Engineering.

Qualifications

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

Responsibilities

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

Skills

Marketing analytics

SQL

Data modeling

A/B testing

Cross-functional collab

Lifecycle marketing

Google Analytics

Salesforce

HubSpot

Tools

Airbyte

Fivetran

dbt

BigQuery

Databricks

N8n

Zapier

Job description

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.

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