Title : Marketing Analytics Manager Duties : The Marketing Analytics Manager will provide leadership to a team that uses data to develop and drive marketing and business strategies for AutoZone.
This manager will manage multiple analytical projects, provide analytical assessments of marketing performance, translate customer data into actionable insights, and use experiment design including control-target methodologies using technologies such as SAS, SQL, R, Tableau, and APT.
In this position, you will prepare and present insights to senior leadership and select, manage, and collaborate with external partners.
Other responsibilities include : identify and apply statistical approaches in prediction and optimization models, provide forecasting scenarios for future marketing opportunities, and provide analytical leadership to support the design, implementation, optimization, and measurement of customer experience, marketing programs, and marketing channels to drive sales growth, transaction spend, and return on investment.
This manager will be responsible for both independent and collaborative insights generation on customer segments, categories, and markets and act as a lead for data manipulation and data mining capabilities in support of the analysis and reporting needs by the Marketing team, cross-functional stakeholders and leadership team members.
Additionally, you will define, measure, and report on key business performance metrics; develop insights and patterns on marketing performance such as loyalty activations, sales and penetration, incremental revenue, dollar share, trip share, and return on investment.
Finally, this manager will ensure data integrity by leveraging proven methodologies, including data reconciliation, data integration, and data audits as well as implement and refine data sourcing / gathering across a multitude of platforms.
Requirements : Must have a Bachelor's degree in Business, Computer Science, or related and 8 years of customer analytics experience, including : · Marketing analytics and customer database extraction and mining · SQL, SAS, and data visualization tools including Tableau · Multiple (non)linear regression, survival analysis, clustering, decision trees, and event-based modeling · Business intelligence reporting and dashboard development · Developing and delivering insights on loyalty program and customer lifecycle analytics including acquisition, penetration, retention and attrition This is a hybrid in-office and remote position.