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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 of Marketing Analytics will be responsible for both independent and collaborative insights generation that can be leveraged to optimize strategic improvements in marketing effectiveness.  This individual will act as a lead for data manipulation and data mining capabilities in support of the analysis and reporting needs of the Marketing team, cross-functional stakeholders, and leadership team members.  This individual will be responsible for the analysis and interpretation of a wide variety of data sources and research as well as generating reports, monitoring performance of the customer experience in stores and online, and making recommendations to improve departmental reporting to drive company EBIT.  This individual will also assist with planning and forecasting sales, as directed by the Director of Marketing Analytics & Insights, and help provide strategic direction to Marketing through analysis of data and insights to affect and improve effectiveness of Marketing campaigns.  In addition, this individual will be deeply involved in the growth of the Marketing Analytics team by mentoring other analysts and providing thought leadership on ways to improve analytics strategies and team structure.

An ideal candidate for this position is a clear communicator, critical thinker, self-motivated, capable of taking on multiple projects with increasing levels of complexity and possesses a strong quantitative background as well as a fervent curiosity about consumer behavior and psychology.

• BA/BS degree in Business, Marketing, Communications, Business Analytics, Mathematics, Computer Science, Statistics, Data Science, 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 

• Management of multiple analytical projects with 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, as well as 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