Lead Marketing Analytics Analyst (Hybrid)

American Family Insurance•Boston, MA

1d•$99,000 - $167,000•Hybrid

About The Position

The Lead Marketing Analytics Analyst is an individual contributor on the Marketing Measurement team, providing 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, the analyst conducts advanced analyses, develops scalable analytical tools and reporting, and translates results into clear insights for Marketing and business partners. The role supports media mix model analysis and improvement, experimentation design and measurement, Tableau reporting, and analytical workflow automation. It partners with Marketing, Product, Finance, Sales, Data Science, and Data Engineering to enhance measurement capabilities, operationalize marketing data structures, support model development, and provide decision-support analytics. The position reports to a Senior Manager, Marketing Measurement. This is a hybrid role requiring at least 10 office days per month. Candidates should reside within approximately 35–50 miles of the Madison, Wisconsin or Boston, Massachusetts office. Travel is up to 10%.

Requirements

Bachelor’s degree in Analytics, Statistics, Economics, Marketing, Business, Data Science, Computer Science, or a related field, or equivalent experience.
At least 5 years of experience in marketing analytics, measurement, decision science, or a related analytical field.
Strong analytical, problem-solving, and data interpretation skills.
Experience with Media Mix Modeling and other attribution methods used to measure performance across 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, including the ability to translate technical findings into business recommendations.
Ability to work independently, manage ambiguity, learn quickly, and collaborate across stakeholders.
Ability to travel up to 10%.
For the hybrid role, work from the office at least 10 days per month and reside within approximately 35–50 miles of Madison, WI or Boston, MA.

Nice To Haves

Master’s or PhD degree in Analytics, Statistics, Economics, Marketing Analytics, Data Science, Computer Science, or a related field.
Strong familiarity with web analytics platforms such as GA4 or Adobe Analytics.
Experience within the Insurance category.

Responsibilities

Perform media mix model analysis using internal and partner tools, delivering due-to analysis, forecasting, planning scenarios, interaction analysis, testing insights, and other actionable marketing insights.
Partner with Marketing, Product, Finance, Sales, Data Science, and Data Engineering to identify opportunities to improve media mix model inputs and outputs.
Execute experimentation and incrementality analysis, including test design and sizing, statistical significance and duration estimates, test-versus-control measurement, and actionable recommendations.
Partner with lead marketing analysts and data engineers to build and automate experimentation capabilities, analytical templates, statistical tools, and standardized analysis processes within data analytics platforms and BI tools.
Develop and maintain Tableau reporting in the Marketing Analytics Hub, including automated MMM reporting, experimentation roadmaps, test results, self-service statistical significance tools, and decision-support analytics products.
Partner with marketing analysts and data engineering to build, manage, and streamline analytical workflows 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 and new analytical capabilities, enable AI-powered reporting, and provide measurement expertise for model development.
Translate complex analytical outputs into clear insights and help marketing and business stakeholders understand results, implications, limitations, and opportunities for action.
Support data stewardship and analytical standards by maintaining documentation and quality controls and staying current on marketing analytics methods, data technologies, AI capabilities, and industry practices.