Lead Marketing Analytics Analyst

We are seeking a curious and experienced Lead Marketing Analytics & Measurement Analyst to support marketing analytics across media mix modeling, experimentation, and BI reporting. This is an individual contributor within Marketing Measurement.

This role will provide hands-on analytical and technical support across Media Mix Modeling, experimentation, and incrementality, marketing reporting, and emerging analytics capabilities. Working within established and evolving measurement strategies and frameworks, this individual will conduct advanced analyses, develop scalable analytical tools and reporting, and translate results into clear insights for Marketing and business partners.

You will report to a Senior Manager, Marketing Measurement.

Position Compensation Range:

$99,000.00 - $167,000.00

Pay Rate Type:

Salary

Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.

Responsibilities

• Perform media mix model analysis using internal and partner tools to deliver performance reporting such as due-to analysis, forecasting, planning scenarios, interaction analysis, testing insights, and other actionable marketing insights. 

• Strengthen MMM inputs and outputs by partnering with Marketing, Product, Finance, Sales, Data Science, and Data Engineering teams to identify new opportunities that improve model outputs. 
• Execute experimentation and incrementality analysis, including test design and sizing support, statistical significance and test duration estimates, test vs control measurement, and delivering clear and actionable insights and recommendations to stakeholders.
• Partner with other lead marketing analysts and data engineers to build and automate experimentation capabilities within our data analytics platforms and BI tools including analytical templates, statistical tools, standardized analysis processes that help increase the scale and consistency of testing. 
• Develop and maintain Tableau reporting within the Marketing Analytics Hub, including automated MMM reporting, experimentation roadmaps, test results reporting, self-service statistical significance tools, and other decision-support analytics products.
• Partner with other marketing analysts and DE to build, manage, and streamline analytical workflowswithin our data analytics platform environments using SQL, Python, notebooks, and automation to improve data preparation, recurring reporting, analytical efficiency, and scalability. 
• Partner with Data Engineering and Data Science to operationalize backend marketing data structures, new analytical capabilities, enable AI-powered reporting, and provide measurement expertise to support model development.
• Translate complex analytical outputs into clear insights and serve as a trusted analytical partner to marketing and business stakeholders, helping teams understand results, implications, limitations, and opportunities for action.
• Support strong data stewardship and analytical standards, maintain documentation, quality controls, and stay current on evolving marketing analytics methods, data technologies, AI capabilities, and industry practices.

Specialized Knowledge, Skills, and Education Requirements

• Bachelor’s degree in Analytics, Statistics, Economics, Marketing, Business, Data Science, Computer Science, or a related field (or equivalent experience).
  • Masters or PhD degree in Analytics, Statistics, Economics, Marketing Analytics, Data Science, Computer Science or a related field preferred.
• 5+ years of experience in marketing analytics, measurement, decision science, or a related analytical field.
• Strong analytical, problem-solving, and data interpretation skills.
  • Strong familiarity with web analytics platforms such as GA4 or Adobe Analytics preferred.
• Experience with Media Mix Modeling and other attribution methods used to measure performance across various marketing channels.
• Experience designing or analyzing A/B tests, holdouts, geo tests, matched-market tests, or other incrementality approaches.
• Proficiency in SQL and experience with data extraction, transformation, and analysis.
• Experience with Python, R, or another statistical programming language.
• Experience with cloud analytics environments such as Databricks, Snowflake, GCP, BigQuery, or similar platforms.
• Experience building dashboards and analytical solutions in Tableau, Power BI, or similar BI Tools.
• Strong communication and presentation skills, with the ability to translate technical findings into business recommendations.
• Demonstrated ability to work independently, manage ambiguity, learn quickly, and collaborate across stakeholders.
• Experience within the Insurance category preferred.
• Travel Requirements - up to 10%.

Additional Information

• To ensure a strong start, all employees participate in our New Employee Orientation during their first week.  This experience is held in person at our Madison, WI Headquarters or one of our AmFam core locations to help you connect with our mission, meet key team members and build relationships that support your growth.  At times, sessions may be delivered virtually based on scheduling and availability. 
• Offer to selected candidate will be made contingent on the results of applicable background checks
• Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
• Sponsorship will not be considered for this position unless specified in the posting

In this hybrid role, you will be expected to work a minimum of 10 days per month from the office. Candidates should reside within approximately 35-50 miles of one of the following office locations: Madison, WI 53783 or Boston, MA 02110.

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We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.

We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email [email protected] to request a reasonable accommodation.

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