Marketing Analyst

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 or Omaha, NE, 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. 

Requirement: Must know Python and be familiar with using AI tools (like Claude, CoPilot) 

This job is hybrid with mandatory in-office days at our Stamford, CT location on a weekly or monthly basis depending on location.

Key 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.
• 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.

Day-to-Day Responsibilities

• Dashboard & Data Pipeline Maintenance: Maintain dashboards and data pipelines that serve the marketing team and the broader organization. Review daily metrics to identify trends, anomalies, and alerts, and follow up with the right stakeholders. 
• Executive Reporting & Insights: Summarize and present analyses and key findings to senior leadership in a clear, decision-ready format. 
• Statistical Analysis & Decision Support: Conduct statistical analyses to identify emerging trends and equip leadership with the evidence needed to make informed decisions. 
• Industry Engagement: Attend meetings and conferences to stay current on the latest developments in the MarTech landscape and bring relevant ideas back to the team. 

Requirements

• Development & Analytics Stack: Advanced proficiency in Python (Streamlit) and/or R (Shiny) for web application development and data visualization. Working familiarity with GA4 and Google Ads reporting. Hands-on experience using Claude/LLMs for code generation, workflow automation, and refactoring. 
• 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 or Omaha, NE office to attend required strategy and team alignment sessions. 
• 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 holding company with diversified interests in a host of industries, including insurance, energy, transportation and manufacturing. Most policies issued through biBerk.com will be underwritten by Berkshire Hathaway Direct Insurance Company ("BHDIC"), which is an AM Best rated A++ insurer.

BHDIC is domiciled in Omaha, Nebraska. BHDIC and the team at biBerk are focused on helping small business owners quickly and easily buy affordable insurance directly from a financially strong insurance company they can trust.

BHDIC is excited to announce our comprehensive benefits package with some new and enhanced features for 2026 that include:

• 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.
• Employee discount and rewards program on travel, tickets, electronics, home, and more.

In accordance with pay transparency laws and regulations, the following good faith compensation range estimate is being provided. The salary range for this position is $85,000 to $95,000 per year. Final compensation will be based on candidate qualifications, geographic location, and other considerations permitted by law.