Lead Marketing Analytics Analyst

American Family Insurance

. Perform media mix model analysis to deliver due-to analysis, forecasting, planning scenarios, interaction analysis, testing insights, and actionable marketing insights .

Posted 10/23/2026full-timeUnited StatesSenior💰 $99,000 - $167,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Media Mix Modeling, A/B testing, and statistical analysis to derive actionable marketing insights. Proficient in SQL, Python, and Tableau for building automated reporting and analytical solutions.

Highest-signal resume keywords

Media Mix ModelingSQL ProficiencyPython ProgrammingTableau ReportingA/B Testing Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Media Mix ModelingA/B TestingStatistical AnalysisData InterpretationData ExtractionData TransformationAnalytical SolutionsForecastingPlanning ScenariosIncrementality Analysis

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsCollaborationPresentation Skills

Tools & Technologies

TableauPower BIGA4Adobe AnalyticsDatabricksSnowflakeGCPBigQuery

Industry Keywords

Marketing AnalyticsDecision ScienceInsurance CategoryData ScienceBusiness Analytics

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPythonSQLTableau

About the role

Key responsibilities & impact

Perform media mix model analysis to deliver due-to analysis, forecasting, planning scenarios, interaction analysis, testing insights, and actionable marketing insights
Partner with Marketing, Product, Finance, Sales, Data Science, and Data Engineering to strengthen MMM inputs and outputs
Execute experimentation and incrementality analyses, including test design and sizing, statistical significance, test duration estimates, test-versus-control measurement, and recommendations
Build and automate experimentation capabilities, analytical templates, statistical tools, and standardized analysis processes
Develop and maintain Tableau reporting within the Marketing Analytics Hub
Build automated MMM reporting, experimentation roadmaps, test-results reporting, self-service statistical-significance tools, and decision-support analytics products
Build, manage, and streamline analytical workflows using SQL, Python, notebooks, and automation
Partner with Data Engineering and Data Science to operationalize marketing data structures, analytical capabilities, AI-powered reporting, and model development
Translate complex analytical outputs into clear insights for marketing and business stakeholders
Maintain documentation, quality controls, data stewardship, and analytical standards
Report to a Senior Manager, Marketing Measurement

Requirements

What you’ll need

Bachelor’s degree in Analytics, Statistics, Economics, Marketing, Business, Data Science, Computer Science, or a related field (or equivalent experience)
5+ years of experience in marketing analytics, measurement, decision science, or a related analytical field
Strong analytical, problem-solving, and data interpretation skills
Familiarity with web analytics platforms such as GA4 or Adobe Analytics preferred
Experience with Media Mix Modeling and other attribution methods
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
Ability to work independently, manage ambiguity, learn quickly, and collaborate across stakeholders
Experience within the Insurance category preferred
Travel requirements up to 10%
Candidates should reside within approximately 35–50 miles of Madison, WI or Boston, MA
Sponsorship will not be considered unless specified in the posting
Successful background checks required
Signing a non-disclosure agreement required

Benefits

Comp & perks

Relocation support for eligible candidates
Comprehensive medical, dental, vision and wellbeing benefits
Competitive 401(k) contribution
Pension plan
Annual incentive
9 paid holidays
Paid time off program (23 days accrued annually for full-time employees)
Student loan repayment program
Paid-family leave
New Employee Orientation and onboarding support
Reasonable accommodation support