Marketing Analytics Manager
AutoZone, Memphis, TN, United States
Job Description
As part of a data‑driven organization, the Marketing Manager of Marketing Analytics will be part of a team that employs data to develop and present stories to drive Marketing and business strategies for AutoZone. This individual will structure and manage projects that translate marketing effectiveness analysis into actionable insights for omnichannel marketing programs, working with and supporting the Director of Marketing Analytics & Insights to influence actions based on data‑driven insights. This individual will apply appropriate quantitative approaches, statistical measures and analyses to create and present findings and marketing recommendations to multiple internal groups at AutoZone, including senior leadership. The Marketing Manager will be responsible for independent and collaborative insights generation that can be leveraged to optimize strategic improvements in marketing effectiveness, act as a lead for data manipulation and mining capabilities, analyze a variety of data sources, generate reports, monitor performance, and make recommendations to improve departmental reporting to drive company EBIT. The role includes planning and forecasting sales, providing strategic direction to Marketing, mentoring analysts, and thinking creatively about analytics strategies. An ideal candidate is a clear communicator, critical thinker, self‑motivated, capable of handling multiple projects, with a strong quantitative background and curiosity about consumer behavior and psychology.
Responsibilities
Management of multiple analytical projects with an understanding of business and leadership priorities to meet tangential deadlines
Leadership of analytical assessments of marketing performance, isolating key drivers of performance
Experiment design including control‑target methodologies to deliver robust measurement of marketing performance using analytics technologies such as SAS, SQL, R, Tableau, and APT
Preparation and presentation of actionable insights to senior leadership, addressing key questions, and driving omnichannel sales, customer acquisition, retention, and reactivation strategies
Selection, management, and collaboration with key external partners
Identification and application of statistical approaches and techniques commonly used in prediction and optimization models
Forecasting scenarios for future marketing opportunities that leverage insights from analytical models (including marketing mix modeling)
Analytical leadership to support the design, implementation, optimization, and measurement of customer experience journeys, marketing programs, and marketing channels to drive sales growth, transaction spend, and return on investment
Definition, measurement, and reporting on key business performance metrics for current and new initiatives
Development of meaningful insights and patterns on marketing performance such as Loyalty activations, sales and penetration, incremental revenue, dollar share, trip share, and return on investment
Exploratory analysis of marketing and transaction data as well as competitive and industry activities to identify new opportunities for business improvements
Ensuring data integrity by leveraging proven methodologies, including data reconciliation, data integration, and data audits
Implementation and refinement of data sourcing/gathering across a multitude of platforms
Demonstration of effective communication – actively listening to the needs of others, internally and externally – to understand and provide accurate information or solutions, and organizational skills – prioritizing appropriately and responding to issues quickly and creatively with an open and positive attitude
Mentorship of and guidance to junior team members in analytic techniques and skills to help drive team success
Qualifications
BA/BS degree in Business, Marketing, Communications, Business Analytics, Mathematics, Computer Science, Statistics, Data Science, or related analytical degree. Master’s degree is a plus
8+ years of experience in Retail Marketing, Consumer Marketing, or Digital Marketing with focus on marketing analytics and/or data mining and preparing/presenting insights to cross‑functional business partners, including senior and executive levels of leadership
Proficiency in query language (e.g., SQL or equivalent), statistical software (e.g., SAS, R or equivalent) and data visualization tools (e.g., Tableau)
Experience using basic statistical techniques, such as multiple (non)linear regression, survival analysis, clustering, decision trees, event‑based modeling, or others
Fluency in and/or understanding of AI platforms and AI techniques
Strong quantitative, analytical and problem‐solving skills with sound knowledge of statistical and forecasting methods
Solid understanding of and/or experience working with digital marketing channels, customer research, tag management systems and analytical platform integrations is a plus
Excellent interpersonal, verbal, and written communication skills with ability to communicate complex ideas in both technical and user‑friendly language
Capable of working in a dynamic, fast‑paced environment, managing multiple projects, meeting aggressive deadlines, prioritizing appropriately and responding to issues quickly and creatively with an open and positive attitude
Proven track record of acting as a self‑starter, taking ownership, and driving results
Expertise in use of MS Excel and PowerPoint
Experience in Retail and/or CPG industry is a plus
Passion for data and using it to better understand customer behavior
Benefits
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
Paid time off
Life, short‑ and long‑term disability insurance options
Health Savings and Flexible Spending Accounts with wellness rewards
Tuition reimbursement
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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Responsibilities
Management of multiple analytical projects with an understanding of business and leadership priorities to meet tangential deadlines
Leadership of analytical assessments of marketing performance, isolating key drivers of performance
Experiment design including control‑target methodologies to deliver robust measurement of marketing performance using analytics technologies such as SAS, SQL, R, Tableau, and APT
Preparation and presentation of actionable insights to senior leadership, addressing key questions, and driving omnichannel sales, customer acquisition, retention, and reactivation strategies
Selection, management, and collaboration with key external partners
Identification and application of statistical approaches and techniques commonly used in prediction and optimization models
Forecasting scenarios for future marketing opportunities that leverage insights from analytical models (including marketing mix modeling)
Analytical leadership to support the design, implementation, optimization, and measurement of customer experience journeys, marketing programs, and marketing channels to drive sales growth, transaction spend, and return on investment
Definition, measurement, and reporting on key business performance metrics for current and new initiatives
Development of meaningful insights and patterns on marketing performance such as Loyalty activations, sales and penetration, incremental revenue, dollar share, trip share, and return on investment
Exploratory analysis of marketing and transaction data as well as competitive and industry activities to identify new opportunities for business improvements
Ensuring data integrity by leveraging proven methodologies, including data reconciliation, data integration, and data audits
Implementation and refinement of data sourcing/gathering across a multitude of platforms
Demonstration of effective communication – actively listening to the needs of others, internally and externally – to understand and provide accurate information or solutions, and organizational skills – prioritizing appropriately and responding to issues quickly and creatively with an open and positive attitude
Mentorship of and guidance to junior team members in analytic techniques and skills to help drive team success
Qualifications
BA/BS degree in Business, Marketing, Communications, Business Analytics, Mathematics, Computer Science, Statistics, Data Science, or related analytical degree. Master’s degree is a plus
8+ years of experience in Retail Marketing, Consumer Marketing, or Digital Marketing with focus on marketing analytics and/or data mining and preparing/presenting insights to cross‑functional business partners, including senior and executive levels of leadership
Proficiency in query language (e.g., SQL or equivalent), statistical software (e.g., SAS, R or equivalent) and data visualization tools (e.g., Tableau)
Experience using basic statistical techniques, such as multiple (non)linear regression, survival analysis, clustering, decision trees, event‑based modeling, or others
Fluency in and/or understanding of AI platforms and AI techniques
Strong quantitative, analytical and problem‐solving skills with sound knowledge of statistical and forecasting methods
Solid understanding of and/or experience working with digital marketing channels, customer research, tag management systems and analytical platform integrations is a plus
Excellent interpersonal, verbal, and written communication skills with ability to communicate complex ideas in both technical and user‑friendly language
Capable of working in a dynamic, fast‑paced environment, managing multiple projects, meeting aggressive deadlines, prioritizing appropriately and responding to issues quickly and creatively with an open and positive attitude
Proven track record of acting as a self‑starter, taking ownership, and driving results
Expertise in use of MS Excel and PowerPoint
Experience in Retail and/or CPG industry is a plus
Passion for data and using it to better understand customer behavior
Benefits
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
Paid time off
Life, short‑ and long‑term disability insurance options
Health Savings and Flexible Spending Accounts with wellness rewards
Tuition reimbursement
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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