Job DescriptionThis role will partner closely with external data vendors and media partners, lead geo-experimentation
design and measurement, and develop propensity and optimization models that guide media investment
decisions. We value continuous learning, rigorous causal thinking, and the ability to translate complex
analysis into clear, actionable recommendations for marketing leaders.
Responsibilities- Marketing Mix Modeling: Serve as the internal analytical counterpart to our Marketing Mix
Modeling vendor, reviewing quarterly model refreshes for accuracy, geographic granularity,
variable specification, and channel decay assumptions, and reconciling MMM outputs against
internal experimental results. Build MMM in-house to measure the return on investment (ROI)
across different advertising channels. Translate MMM and incrementality outputs into
media/channel budget allocation recommendations, working with internal stakeholders to connect
model output to planning cycles - Experimentation & Measurement: Design and analyze geo-experiments, media heavy-up/heavy-down designs, and matched-market or synthetic control tests across channels,
including market selection, statistical power/MDE calculations, and exclusion protocols for
confounding risk e.g., seasonal exposure, outlet share, promotions, etc. - Build Optimization Frameworks: Design randomized holdout structures to measure incremental
value of Email/SMS programs, and develop send-time, frequency, and content optimization
models in partnership with other marketing entities - Develop Propensity & Customer Models: Build propensity-to-purchase, churn, and channel-response models using transactional, loyalty, and behavioral data to support targeting,
personalization, and customer segmentation - Analyze Trends & Validate Data: Interpret customer and media performance data for actionable
patterns, assess new data sources for improving model(s) accuracy, and maintain rigorous data
validation standards - Collaborate for Implementation: Partner with internal teams in advanced analytics work to
operationalize models and ensure measurement infrastructure scales
Qualifications- Experience: 3-5 years in data science, marketing analytics, or applied statistics, ideally with
direct exposure to marketing measurement in a retail, or omnichannel environment - Technical Skills: Proficiency in Python and/or R and SQL; hands-on experience with causal
inference methods, Bayesian modeling, experimental design and power analysis, and marketing
mix modeling concepts. Familiarity with Excel, cloud data warehouses and BI/visualization tools
(Tableau, Looker, Google Cloud Platform, CDP) - Dynamic Environment: Comfort working in a research-oriented group with multiple concurrent
projects - Communicate for Impact: Ability to translate statistical and modeling work into clear, decision ready recommendations for non-technical executive stakeholders
- Educational Background: Bachelor's degree in statistics, information systems, data science,
applied mathematics, economics, computer science, or related discipline; Master's degree
preferred
About UsSince opening our first store in 1979, AutoZone has grown into a leading retailer and distributor of automotive parts and accessories across the Americas. Our customer-first mindset and commitment to Going the Extra Mile define who we are, for both our customers and AutoZoners. Working at AutoZone means being part of a team that values dedication, teamwork, and growth. Whether you're helping customers or building your career, we provide tools and support to help you succeed and drive your future.
Benefits at AutoZone AutoZone offers thoughtful benefits programs with one-on-one benefits guidance designed to improve AutoZoners' physical, mental and financial well-being.
All AutoZoners (Full-Time and Part-Time): - Competitive pay
- Unrivaled company culture
- Medical, dental and vision plans
- Exclusive discounts and perks, including an AutoZone in-store discount
- 401(k) with company match and Stock Purchase Plan
- AutoZoners Living Well Program for free mental health support
- Opportunities for career growth
Additional Benefits for Full-Time AutoZoners: - Paid time off
- Life, and short- and long-term disability insurance options
- Health Savings and Flexible Spending Accounts with wellness rewards
- Tuition reimbursement
Minimum age requirements may apply. Eligibility and waiting period requirements may apply; benefits for AutoZoners in Puerto Rico, Hawaii, or the U.S. Virgin Islands may differ. Learn more about all that AutoZone has to offer at Careers.AutoZone.com.
We proudly support Veterans, Active-duty Service Members, Reservists, National Guard and Military Families. Your experience is highly valued, and we encourage you to apply to join our team.
Online Application: An online application is required. Click the Apply button to complete your application. For step-by-step instructions on how to apply visit careers.autozone.com/candidateresources.
AutoZone, and its subsidiary, ALLDATA are equal opportunity employers. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or any other legally protected categories.
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