Dir, Marketing Analytics & Testing

Farmers Insurance
•$137,775 - $262,000•Hybrid

About The Position

The Director, Marketing Analytics & Testing serves as the analytics lead and thought partner for Enterprise Marketing. This role leads a team of analysts and provides vision and leadership to deliver actionable insights and enable data-driven decisions through analytics and data science. The position oversees marketing analytics and testing, advances a full-funnel learning agenda, and helps optimize campaign effectiveness and profitable growth. It develops the Marketing Analytics team as strategic partners to marketing, fosters curiosity and continuous test-and-learn practices, and communicates meaningful insights to stakeholders and senior leaders. The role applies advanced analytics and data science to marketing, including campaign effectiveness measurement across channels, reach and frequency optimization, multitouch attribution, media mix modeling, predictive modeling, and propensity-to-buy modeling. It coordinates with Data & Reporting and IT on data integrity and analytic tools, stays informed about industry trends, and collaborates with partners across the enterprise, including Distribution, Product, and IT. The position is hybrid or remote; employees within 50 miles of a Farmers corporate office work at least three days in the office and up to two days virtually.

Requirements

  • Bachelor’s degree in a related field.
  • 10 or more years of related experience.
  • 3 or more years of leadership experience.
  • Strong technical aptitude.
  • Ability to use advanced statistical and machine-learning concepts, including regression, GLMs, decision trees, ensemble modeling, clustering, and SVM.
  • Familiarity with at least one statistical or modeling package, such as Python, R, or SAS.
  • Familiarity with SQL data-management programming.
  • Excellent organizational skills and ability to develop and deliver effective presentations.
  • Strong verbal communication and listening skills.
  • Strong written communication skills.
  • Demonstrated project-management skills.
  • Demonstrated time-management and priority-setting skills.
  • High degree of initiative.
  • Intellectually curious, impact-driven, persistent, and confident sharing opinions and recommendations.
  • Demonstrated analytical skills.
  • Ability to explain and present analytics interpretations to key stakeholders and senior leadership in nontechnical terms.

Nice To Haves

  • Property and casualty (P&C) insurance experience.

Responsibilities

  • Oversee the prioritization, design, and execution of marketing analytics and testing.
  • Lead and coordinate the full-funnel learning agenda in collaboration with an analytics counterpart.
  • Use data and analytics to recommend ways to optimize campaign effectiveness and maximize profitable growth through actionable, data-driven insights.
  • Facilitate stakeholder discussions to align business requirements and priorities.
  • Provide analytic thought partnership, mine data, and surface actionable insights to optimize marketing activities.
  • Develop the Marketing Analytics team into strategic, valued thought partners who analyze and optimize marketing performance.
  • Foster curiosity and coach, mentor, and inspire team members to develop their skills.
  • Apply advanced analytics and data science to marketing, including campaign effectiveness measurement across channels, reach and frequency optimization, multitouch attribution, media mix modeling, predictive modeling, and propensity-to-buy modeling.
  • Promote continuous test-and-learn practices within marketing.
  • Facilitate the design, measurement, and reporting of tests using A/B and multivariate methodologies, focusing on incremental impact.
  • Share results, learnings, and next steps objectively and broadly.
  • Perform cost-benefit analysis to inform decisions.
  • Coordinate with Data & Reporting and IT on data integrity issues and the selection of analytic tools and software.
  • Stay informed about industry trends and educate the team on MarTech, data governance, and new data strategy and data science techniques.
  • Communicate meaningful insights through compelling, audience-tailored data storytelling and visualization.
  • Present concise information to senior leaders to support decision-making.
  • Establish relationships and collaborate with enterprise partners, including Distribution, Product, and IT.
  • Perform other duties as assigned.

Benefits

  • Competitive salary commensurate with experience, qualifications, and location.
  • Bonus opportunity based on company and individual performance.
  • 401(k).
  • Medical coverage.
  • Dental coverage.
  • Vision coverage.
  • Health Savings and Flexible Spending Accounts.
  • Life insurance.
  • Paid time off.
  • Paid parental leave.
  • Tuition assistance.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service