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Web Analytics Engineer Jobs in Missouri (NOW HIRING)

Jobtailor

Marketing Analytics Manager

California, MO · On-site

Own lifecycle marketing analytics across web, email, in-product and other lifecycle touchpoints ... Experience with usage-based products, developer platforms or APIs * Experience developing multi ...

OLS HOTELS

MAINTENANCE ENGINEER FT

Saint Louis, MO · On-site

Reports to Director of Engineering/Chief Engineer * Supports Engineering department ... Advanced knowledge of computer software (including Microsoft Office, outlook) and web analytics ...

OLS HOTELS

MAINTENANCE ENGINEER FT

Branson, MO · On-site

Reports to Director of Engineering/Chief Engineer * Supports Engineering department ... Advanced knowledge of computer software (including Microsoft Office, outlook) and web analytics ...

Kansas City

Software Engineer

Kansas City, MO · On-site

Confer with systems analysts, engineers, programmers and others to design systems and to obtain ... Strong experience building modern web applications using a contemporary UI framework (React ...

Jobtailor

Data Engineer - Growth

California, MO · On-site

$102K - $123K/yr

Develop measurement, attribution, and experimentation data layers for web and landing-page ... Partner with Growth, Marketing, Analytics Engineering, and Data Science to translate business ...

ApplyMint

Software Engineer

Saint Louis, MO · On-site

This Software Engineer is responsible for the analysis, design, testing, development, deployment ... The Software Engineer - Full Stack builds and supports web applications, APIs, business-tier ...

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Web Analytics Engineer information

What cities in Missouri are hiring for Web Analytics Engineer jobs?

Cities in Missouri with the most Web Analytics Engineer job openings:

Marketing Analytics Manager

California, MO • On-site

Jobtailor
See more jobs at Jobtailorexternal

Other

Posted 4 days ago

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.

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
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