1+ months

Manager, Customer Analytics

Atlanta, GA 30303
Apply Now
Apply on the Company Site
\u003Cdiv data-field=\u0022Position_Description\u0022 class=\u0022Summary\u0022\u003E\u003Cstrong\u003EPOSITION PURPOSE\u003Cbr /\u003E \u003C/strong\u003EThe Marketing Analytics team is responsible for advanced analytics, segmentation \u0026 predictive modeling at The Home Depot. The team supports primarily Digital Marketing \u0026 Marketing Technology initiatives. Online Personalization, Merchandising and Traditional Marketing are also under the purview of Marketing Analytics team.\u003Cp\u003EThe Manager, Data Science is responsible for implementing and managing big data platforms, advanced data science tools, techniques and processes to support The Home Depot\u0026rsquo;s customer centric marketing initiatives. This position is also responsible for providing actionable insights to a broad range of audience including senior leaders and internal clients from marketing, operations and merchandising. Being a subject matter expert in advanced statistical, econometric, and quantitative analytic techniques Manager, Data Science plays a pivotal role in enhancing THD\u0026rsquo;s ability to anticipate and fulfil our customer needs.\u003C/p\u003E\u003Cp\u003EThe Manager, Data Science is responsible for developing statistical models, implementing Machine Learning, creating of test/learn strategies, managing audiences segments, and measurement. Being a stakeholder in The Home Depot\u0026rsquo;s Marketing Technology \u0026 Innovation stack, this individual will act as a visionary liaison among Home Depot IT, Data Science, campaign management and vendor teams. Manager, Data Science is expected to be an entrepreneurial and inspiring leader who can keep customer first while driving towards THDs long term goals.\u003C/p\u003E\u003Cstrong\u003EMAJOR TASKS, RESPONSIBILITES AND KEY ACCOUNTABILITIES\u003C/strong\u003E\u003Cbr /\u003E\u003Cul\u003E\u003Cli\u003E30% Project Identification,Scoping \u0026 management: Partner w/marketing \u0026 merchandising leadership to identify business needs for customer analytics. Provide thought partnership in strategic merchandising \u0026 marketing decisions. Ensure accurate \u0026 timely completion of various projects by effectively utilizing offshore \u0026 onsite resources.\u003C/li\u003E\u003Cli\u003E20% Establish best practices and identify opportunities to improve efficiency. Develop best in class methodologies to extract actionable insights from new data streams like mobile app, social and clickstream data.\u003C/li\u003E\u003Cli\u003E10% Mentor new team members and provide Subject Matter Expertise in Statistical analytic techniques.\u003C/li\u003E\u003Cli\u003E10% Develop Predictive models to identify marketing opportunities.\u003C/li\u003E\u003Cli\u003E20% Customer Analytics: Provide analytical and customer-centric decision support to Marketing \u0026 Merchandising teams. Leverage customer database and other information systems to identify, integrate and analyze data.\u003C/li\u003E\u003Cli\u003E10% Dashboard Development and Reporting: Establish and report on metrics of assigned projects or categories to gauge business impact and opportunities for improvement.\u003C/li\u003E\u003C/ul\u003E\u003Cstrong\u003ENATURE AND SCOPE\u003C/strong\u003E\u003Cbr /\u003E\u003Cul\u003E\u003Cli\u003EPosition reports to Sr Manager Customer Analytics\u003C/li\u003E\u003Cli\u003ENo direct reports\u003C/li\u003E\u003C/ul\u003E\u003Cstrong\u003EENVIRONMENTAL JOB REQUIREMENTS\u003Cbr /\u003E \u003C/strong\u003E\u003Cbr /\u003E \u003Cstrong\u003EEnvironment: \u003C/strong\u003E\u003Cbr /\u003E Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003ETravel: \u003C/strong\u003E\u003Cbr /\u003E Typically requires overnight travel less than 10% of the time.\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003EAdditional Environmental Job Requirements: \u003C/strong\u003E\u003C/div\u003E\u003Cdiv data-field=\u0022Postion_Requirement\u0022 class=\u0022Requirement\u0022\u003E\u003Cstrong\u003EMINIMUM QUALIFICATIONS\u003C/strong\u003E\u003Cbr /\u003E\u003Cul\u003E\u003Cli\u003EMust be eighteen years of age or older.\u003C/li\u003E\u003Cli\u003EMust be legally permitted to work in the United States.\u003C/li\u003E\u003C/ul\u003E\u003Cbr /\u003E \u003Cstrong\u003EAdditional Minimum Qualifications:\u003C/strong\u003E\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003EEducation Required:\u003C/strong\u003E\u003Cbr /\u003E The knowledge, skills and abilities typically acquired through the completion of a bachelor\u0027s degree program or equivalent degree in a field of study related to the job.\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003EYears of Relevant Work Experience: \u003C/strong\u003E5 years\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003EPhysical Requirements:\u003C/strong\u003E\u003Cbr /\u003E Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003EAdditional Qualifications:\u003C/strong\u003E\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003E\u003Cstrong\u003EPreferred Qualifications:\u003Cbr /\u003E \u003C/strong\u003E\u003C/strong\u003E\u003Cul\u003E\u003Cli\u003EMaster\u0026rsquo;s degree in Statistics, Industrial Engineering, Operations, or equivalent\u003C/li\u003E\u003Cli\u003EDigital marketing experience or advertising operations\u003C/li\u003E\u003Cli\u003EPrevious experience in predictive modeling/ machine learning\u003C/li\u003E\u003Cli\u003EPrevious experience in leading large analytical projects\u003C/li\u003E\u003Cli\u003ESkilled in Python, R, Scala, Spark, Hive, Map Reduce, SAS, SQL\u003C/li\u003E\u003C/ul\u003E\u003Cstrong\u003EKnowledge, Skills, Abilities and Competencies:\u003Cbr /\u003E \u003C/strong\u003E\u003Cul\u003E\u003Cli\u003EProven ability to analyze, evaluate and interpret complex data using advanced statistical, econometric and quantitative analysis techniques.\u003C/li\u003E\u003Cli\u003EExpertise in quantitative theories and techniques (regression, decision trees, logistic regression, cluster/factor analysis and ANOVA etc) and their role in a business context.\u003C/li\u003E\u003Cli\u003ESkilled in the use of statistical programming software, especially SAS or R.\u003C/li\u003E\u003Cli\u003EProficient with PowerPoint, Excel, Access.\u003C/li\u003E\u003Cli\u003EProficiency in working with large relational databases, especially Teradata, Netezza and Hadoop.\u003C/li\u003E\u003C/ul\u003E\u003Cstrong\u003E\u003C/strong\u003E\u003C/div\u003E
Posted: 2020-10-21 Expires: 2020-12-19
Sponsored by:
ADP Logo

Before you go...

Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.

Share this job:

Manager, Customer Analytics

Home Depot
Atlanta, GA 30303

Join us to start saving your Favorite Jobs!

Sign In Create Account
Powered ByCareerCast