Marketing Analyst

About This Role

This Marketing Analyst role is for an analytical and technically minded individual to help scale digital marketing analytics and performance reporting. The position sits at the intersection of growth marketing, data science, and web applications, leveraging modern AI coding environments and digital tracking tools to build real-time interactive dashboards. Your efforts will directly inform marketing investment, optimize digital acquisition funnels, and track key operational metrics for senior leadership.

Responsibilities

• Design, deploy, and support interactive analytical applications and custom web tools using Python (Streamlit) or R (Shiny)
• Build reporting systems to track direct-to-business marketing metrics, including quote-to-bind ratios, channel attribution, conversion velocities, and other funnel metrics
• Use AI to build and maintain these dashboards on an Azure environment
• Serve as a functional champion for generative AI tools (Claude) within marketing operations
• Utilize LLM workflows to accelerate code synthesis, automate data pipelines, and refactor analytical scripts to streamline dashboard delivery timelines
• Partner with internal technology teams within the Azure ecosystem to integrate marketing data streams, support data warehouse migrations, and ensure secure deployment of analytical web applications
• Maintain and enhance digital analytics architecture across GA4 and Google Ads
• Oversee custom dimension setups, event-driven tag management, and clean B2B lead attribution to ensure high data integrity across all digital channels
• Design, run, and evaluate rigor-based media testing frameworks to measure true marketing incrementality
• Execute Conversion Lift studies, Geo-Testing / Match-Market models, and A/B experiments across digital channels

Requirements

• 3
• 5 years of experience in marketing analytics, marketing science, or business intelligence
• Experience in B2B commercial insurance, financial services, or insurtech environments is strongly preferred
• Bachelor
• s or Master
• s degree in a quantitative field such as Computer Science, Economics, Mathematics, Statistics, or Data Science
• Must reside within a viable commuting distance of our Stamford, CT office to attend required monthly strategy and team alignment session
• Advanced proficiency in Python (Streamlit) and/or R (Shiny) for web application development and data visualization
• Deep expertise in GA4 (event tracking, custom dimensions) and Google Ads management platforms
• Hands-on experience using Claude/LLMs for code generation, workflow automation, and refactoring
• Foundational understanding of the Azure ecosystem for data storage, query optimization, or web application hosting