Position Purpose:
Home Depot’s Retail Media+ Manager of Research & Analytics is directly responsible for leading the strategy and execution of Home Depot’s Retail Media+ Measurement capabilities, playing a pivotal role in amplifying custom reporting and advanced analytics programs. This newly formed team is seeking a dynamic leader to manage a team of researchers dedicated to identifying supplier/client trends, delivering custom ad-hoc projects, developing marketing analytics tools, and presenting key findings to stakeholders both internally and externally. The Manager must possess expert-level technical skills in SQL, Python, and/or R, with a keen ability and desire to teach and cultivate a team of technical experts. Strong team leadership, cross-functional collaboration, communication, and presentation skills are a must!
The ideal candidate will be a deep subject matter expert on RM+ data processes and tools, including advanced marketing analytics, multi-touch attribution, media platform measurement, automated insights, and stakeholder management. The Manager will be instrumental in growing and developing a team of direct reports and cross-functional partners to support the RM+ measurement strategy. Key responsibilities include independently translating questions from suppliers/clients into queries, extracting and analyzing data, and crafting insightful narratives to drive business outcomes.
Key Responsibilities:
- 30% Project Identification, Scoping & management: Partner w/marketing & merchandising leadership to identify business needs for customer analytics. Provide thought partnership in strategic merchandising & marketing decisions. Ensure accurate & timely completion of various projects by effectively utilizing offshore & onsite resources.
- 20% 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.
- 10% Mentor new team members and provide Subject Matter Expertise in Statistical analytic techniques.
- 10% Develop Predictive models to identify marketing opportunities.
- 20% Customer Analytics: Provide analytical and customer-centric decision support to Marketing & Merchandising teams. Leverage customer database and other information systems to identify, integrate and analyze data.
- 10% Dashboard Development and Reporting: Establish and report on metrics of assigned projects or categories to gauge business impact and opportunities for improvement.
Direct Manager/Direct Reports:
- Position reports to Sr Manager Customer Analytics
- This role will have 3 direct reports
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.
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.
Minimum Years of Work Experience:
Competencies:
- Proven ability to analyze, evaluate and interpret complex data using advanced statistical, econometric and quantitative analysis techniques.
- Expertise in quantitative theories and techniques (regression, decision trees, logistic regression, cluster/factor analysis and ANOVA etc) and their role in a business context.
- Skilled in the use of statistical programming software, especially SAS or R.
- Proficient with PowerPoint, Excel, Access.
- Proficiency in working with large relational databases, especially Teradata, Netezza and Hadoop.
Preferred Qualifications:
A profound understanding of Marketing Measurement with hands-on experience in marketing analytics across digital media and retail.
Expert-level proficiency in SQL, (R or Python a plus!) for data extraction and the ability to build compelling marketing narratives from ad-hoc hypotheses.
Proven experience in leading a technical team (2-5 Analysts) and teaching effective and efficient query writing from scratch.
Demonstrated success in growing a test-and-learn function to drive strong media performance.
Direct experience distilling complex and / or ambiguous business process, technology and customer experience opportunities into actionable plans for improvement.
Experience working with advanced marketing analytics and models such as Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA).
Deep understanding of data warehouse structures and processes.
Proficiency in data visualization techniques and tools, such as Tableau.
Track record of leading, managing, and developing teams in a rapidly expanding environment.
Effective communication skills with the ability to influence non-technical teams at all levels of the company.
Proven ability to hold teams accountable for deliverables while providing effective teaching and training.
Experience in change management.
Expertise in conducting competitive research and analysis.
Ability to partner, manage, and motivate internal teams, build goodwill, and drive long-term alignment.
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