Manager Quantitative Research

Position Purpose:

Manager Quantitative Research will support the Orange Apron Media and Digital Monetization business for The Home Depot. This role has responsibility for applying advanced quantitative and analytical techniques to build quantitative models/capabilities, drive data-driven insights and strategies around pricing,  yield management and revenue optimization of ad units. You will also be responsible for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical capabilities by partnering with cross-functional teams to deliver high quality analytic solutions for The Home Depot Orange Apron Media business. This is a unique opportunity to join a small, highly visible team that’s reshaping digital advertising in the world’s largest home improvement retailer.

Key Responsibilities:

• 40% Collaborate with stakeholders, business partners, colleagues, developers and business analysts to deliver high quality analytics solutions
• 45% Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python
• 5% Data cleansing, validation, testing
• 5% Enhancements / modifications to systems & procedures
• 5% Supporting end users, problem solving, troubleshooting

Direct Manager/Direct Reports:

• Reports to a Sr Manager, Quantitative Research.
• This position has 2-4 direct report

Travel Requirements:

• Typically requires overnight travel less than 10% 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:

• Master's degree in a quantitative field (Statistics, Analytics, Computer Science, etc.) or relevant work experience

• 5 years of experience in advanced analytical techniques, machine learning, and predictive modeling. Experience with advanced tools and libraries for data analysis and modeling is preferred. This can also extend to data mining, statistical analysis, auditing, and/or forecasting.

• Advanced proficiency in statistical software (e.g., Python), data manipulation, and visualization tools, along with expertise in database management and SQL, is preferred. Familiarity with relevant ad tech platforms and tools is also beneficial.

• Prior experience in the retail and digital advertising sectors, especially in roles related to pricing strategy, yield management, or digital monetization, is a significant advantage.

• Specialized knowledge of pricing strategies for digital ad units, yield management techniques, and familiarity with the intricacies of retail media is highly desired. Specific domain expertise enhances the candidate's ability to drive results in these areas.

• Demonstrated willingness to both teach others and constantly learn new analytical techniques, coding frameworks, etc.

• Professional experience with reporting systems, data pipeline architecture, ETL and data modeling

• Solid communication skills to distill information concisely to very executive audiences

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:

• None