The Home Depot
Manager, Consumer Insights - Customer Analytics
The Home Depot, Atlanta, Georgia, United States, 30383
Position Purpose:
Responsible for structuring and managing projects that translate customer data into actionable insights to support strategic decisions. Responsible for both independent and collaborative insights generation on customer segments, categories and markets. Other responsibilities include driving an in-depth understanding of customer value, needs and preferences and the identification of customer segments and behaviors that can be leveraged into business actions. Acts as thought partner with all areas of the Company, including executive leadership, operations, merchandising, marketing and e-commerce.
Key Responsibilities:
10% Partner with the business to conceptualize business issues and translate into appropriate analytical approaches 30% Analysis of large amounts of customer data to isolate key trends and business opportunities and develop actionable solutions and recommendations 30% Development and delivery of effective presentations that summarize complex analyses and inform business decisions 20% Coordination of the activities of internal and outsourced customer analytics resources 10% Build trusted relationship with business partners
Direct Manager/Direct Reports:
Position reports to Director CI Analytics No direct reports
Travel Requirements:
Typically requires overnight travel 5% to 20% of the time.
Physical Requirements:
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.
Working Conditions:
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications:
Must be eighteen years of age or older. Must be legally permitted to work in the United States.
Preferred Qualifications:
Masters degree or MBA Experience using statistics/analytics in a business or marketing setting Familiarity with customer and transaction-level data Retail experience and/or interest
Minimum Education:
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Preferred Education:
No additional education
Minimum Years of Work Experience:
4
Preferred Years of Work Experience:
No additional years of experience
Minimum Leadership Experience:
None
Preferred Leadership Experience:
None
Certifications:
None
Competencies:
History of outstanding performance in strategic thinking and analysis Experience managing all aspects of discrete projects/workstreams (relationship management, data collection, analysis, interpretation, document development, communication) Ability to develop frameworks and approaches to break complex business questions into addressable pieces Experience extracting data from and manipulating large data sets (using SAS, SQL, R, etc.) Familiarity with data mining statistical methods (Regression, factor analysis, clustering, etc.) Experience with creative data visualization techniques Experience developing executive-ready communication materials and presenting them to senior stakeholders Ability to work closely with peers and manager in flat team structure Demonstrated history of continuously learning new analytical techniques and approaches Ability to interpret and translate outputs from complex analyses into business language
#J-18808-Ljbffr
Responsible for structuring and managing projects that translate customer data into actionable insights to support strategic decisions. Responsible for both independent and collaborative insights generation on customer segments, categories and markets. Other responsibilities include driving an in-depth understanding of customer value, needs and preferences and the identification of customer segments and behaviors that can be leveraged into business actions. Acts as thought partner with all areas of the Company, including executive leadership, operations, merchandising, marketing and e-commerce.
Key Responsibilities:
10% Partner with the business to conceptualize business issues and translate into appropriate analytical approaches 30% Analysis of large amounts of customer data to isolate key trends and business opportunities and develop actionable solutions and recommendations 30% Development and delivery of effective presentations that summarize complex analyses and inform business decisions 20% Coordination of the activities of internal and outsourced customer analytics resources 10% Build trusted relationship with business partners
Direct Manager/Direct Reports:
Position reports to Director CI Analytics No direct reports
Travel Requirements:
Typically requires overnight travel 5% to 20% of the time.
Physical Requirements:
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.
Working Conditions:
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications:
Must be eighteen years of age or older. Must be legally permitted to work in the United States.
Preferred Qualifications:
Masters degree or MBA Experience using statistics/analytics in a business or marketing setting Familiarity with customer and transaction-level data Retail experience and/or interest
Minimum Education:
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Preferred Education:
No additional education
Minimum Years of Work Experience:
4
Preferred Years of Work Experience:
No additional years of experience
Minimum Leadership Experience:
None
Preferred Leadership Experience:
None
Certifications:
None
Competencies:
History of outstanding performance in strategic thinking and analysis Experience managing all aspects of discrete projects/workstreams (relationship management, data collection, analysis, interpretation, document development, communication) Ability to develop frameworks and approaches to break complex business questions into addressable pieces Experience extracting data from and manipulating large data sets (using SAS, SQL, R, etc.) Familiarity with data mining statistical methods (Regression, factor analysis, clustering, etc.) Experience with creative data visualization techniques Experience developing executive-ready communication materials and presenting them to senior stakeholders Ability to work closely with peers and manager in flat team structure Demonstrated history of continuously learning new analytical techniques and approaches Ability to interpret and translate outputs from complex analyses into business language
#J-18808-Ljbffr