Marketing Analyst

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.

Benefits

• Medical (PPO/HDHP), vision, disability, and life insurance.
• Enhanced dental plan with orthodontia coverage in addition to a standard plan.
• Generous PTO plan for all benefit-time eligible employees.
• Paid company holidays and 4 floating holidays.
• Paid parental leave.
• Employee Retirement Savings Plan/401(k) with company match and immediate vesting.
• Education Assistance Program that offers 100% upfront tuition reimbursement after 6 months of service for approved degree programs.
• Service Recognition Program that provides a monetary award to be used toward a vacation every 5 years of employment.
• Wellness Initiatives that include Fitness Center and Weight Watchers Reimbursement programs.
• Voluntary benefits that include accident, critical illness, and hospital indemnity.