Description
Berkshire Hathaway Direct Insurance Company (biBERK) is building a cloud-first, API-driven insurance platform that enables small business owners to buy commercial policies directly online. We are seeking an analytical and technically minded Marketing Analyst to join our team in Stamford, CT, to help scale our digital marketing analytics and performance reporting framework.
In this role, you will sit at the intersection of growth marketing, data science, and web applications. You will leverage modern AI coding environments (such as Claude, Copilot) alongside core digital tracking tools (Google Ads, GA4) and Python/R web application frameworks 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
This job is hybrid with mandatory in-office days at our Stamford, CT location on a weekly or monthly basis depending on location.
Job Responsibilities
Production Dashboard Engineering: 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.
AI-Accelerated Development: 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.
Cloud & Data Integration: 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.
Tracking Architecture & GA4 Optimization: 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.
Growth Experimentation & Media Testing: 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
Experience: 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.
Education: Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Economics, Mathematics, Statistics, or Data Science.
Location: Must reside within a viable commuting distance of our Stamford, CT office to attend required monthly strategy and team alignment session.
Development & Analytics Stack: 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.
Database & Cloud: Foundational understanding of the Azure ecosystem for data storage, query optimization, or web application hosting.
Testing Methodologies: Proven understanding of statistical media testing, specifically Conversion Lift testing, Geo-Testing, and A/B experimentation architectures.
Preferred Skills: Prior experience with traditional enterprise BI platforms (Power BI or Tableau) is a plus.
About Us
biBerk is where commercial insurance buyers can obtain coverage for their businesses from insurers of the Berkshire Hathaway group of Insurance Companies, one of the best capitalized insurance groups in the world. Our ultimate parent, Berkshire Hathaway Inc. (berkshirehathaway.com) is a…