The Home Depot
Position Purpose
Decision Analytics associates produce insights that answer key enterprise questions around budget, priorities, courses of action, and important decisions. They develop frameworks for analysis by identifying the right metrics for consistent, effective insights that drive business outcomes. Decision Analytics associates are skilled in advanced analytics and analytical tools and languages such as GCP BigQuery, Python, R, SQL, Jupyter Notebook, Adobe Analytics, and Tableau. While they may have the ability to support model development and AI/ML work, they are primarily focused on internal business insights (i.e., business intelligence). Decision Analytics associates possess the domain expertise to understand the businesses they support with their analysis.
Senior Decision Analyst Responsibilities
Data Analytics (65%)
– Analyze large volumes of data and leverage data analytics tools to create dashboards, reports, and ad‑hoc requests using GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.
Management of Data (10%)
– Collaborate with other analysts to explore new data sources, cleanse, validate, and test data.
Project Management & Support (5%)
– Support end users, solve problems, and troubleshoot numerous issues.
Solution Development (15%)
– Collaborate with stakeholders, business partners, developers, and analysts to deliver high‑quality analytics solutions.
Technical Exploration & Development (5%)
– Develop additional technical competencies and subject‑matter expertise, including system enhancements and procedures.
Reporting and Travel Requirements Reports to: Manager. No travel required.
Physical Requirements Mostly seated; occasional light lifting.
Working Conditions Comfortable indoor environment.
Minimum Qualifications
Be 18 years of age or older.
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.
6+ years of experience in data mining, statistical analysis, auditing, and/or forecasting.
Demonstrated expertise on data analysis and data visualization.
Demonstrated expertise on how to translate analysis into effective presentations.
Demonstrated expertise utilizing data analysis to identify key insights that help solve business problems.
Ability to apply experience in a wide variety of database applications, analytical tools and languages including SQL, SAS, Tableau, R, Python, Teradata, Oracle and similar tools.
Working knowledge of Microsoft Excel and Power Point.
Manage requests and roadmaps for insights for the online merchandising, marketing, and ELT organizations.
Produce deep, statistical analysis in service of predictive insights.
Ability to partner with requesting organizations to build KPI frameworks.
Ability to code in Python, R, SQL, Jupyter Notebook, VertexAI and AutoML.
Ability to visualize data using Tableau.
Experience managing multiple projects and working in a fast‑paced environment.
Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problem solving.
Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.
Superior interpersonal skills and ability to collaborate actively and work in a team environment.
Ability to quickly learn and adapt to new technologies, tools, and techniques.
Minimum Education Bachelor's degree in a relevant field.
Preferred Education Master's degree in a quantitative field or equivalent experience.
Minimum Years of Work Experience 5 years.
Preferred Years of Work Experience 6 years.
Leadership Experience Minimum: None. Preferred: None.
Certifications None.
Competencies
Action Oriented
Collaborates
Drives Engagement
Communicates Effectively
Customer Focus
Drives Results
Manages Conflict
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Senior Decision Analyst Responsibilities
Data Analytics (65%)
– Analyze large volumes of data and leverage data analytics tools to create dashboards, reports, and ad‑hoc requests using GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.
Management of Data (10%)
– Collaborate with other analysts to explore new data sources, cleanse, validate, and test data.
Project Management & Support (5%)
– Support end users, solve problems, and troubleshoot numerous issues.
Solution Development (15%)
– Collaborate with stakeholders, business partners, developers, and analysts to deliver high‑quality analytics solutions.
Technical Exploration & Development (5%)
– Develop additional technical competencies and subject‑matter expertise, including system enhancements and procedures.
Reporting and Travel Requirements Reports to: Manager. No travel required.
Physical Requirements Mostly seated; occasional light lifting.
Working Conditions Comfortable indoor environment.
Minimum Qualifications
Be 18 years of age or older.
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.
6+ years of experience in data mining, statistical analysis, auditing, and/or forecasting.
Demonstrated expertise on data analysis and data visualization.
Demonstrated expertise on how to translate analysis into effective presentations.
Demonstrated expertise utilizing data analysis to identify key insights that help solve business problems.
Ability to apply experience in a wide variety of database applications, analytical tools and languages including SQL, SAS, Tableau, R, Python, Teradata, Oracle and similar tools.
Working knowledge of Microsoft Excel and Power Point.
Manage requests and roadmaps for insights for the online merchandising, marketing, and ELT organizations.
Produce deep, statistical analysis in service of predictive insights.
Ability to partner with requesting organizations to build KPI frameworks.
Ability to code in Python, R, SQL, Jupyter Notebook, VertexAI and AutoML.
Ability to visualize data using Tableau.
Experience managing multiple projects and working in a fast‑paced environment.
Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problem solving.
Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.
Superior interpersonal skills and ability to collaborate actively and work in a team environment.
Ability to quickly learn and adapt to new technologies, tools, and techniques.
Minimum Education Bachelor's degree in a relevant field.
Preferred Education Master's degree in a quantitative field or equivalent experience.
Minimum Years of Work Experience 5 years.
Preferred Years of Work Experience 6 years.
Leadership Experience Minimum: None. Preferred: None.
Certifications None.
Competencies
Action Oriented
Collaborates
Drives Engagement
Communicates Effectively
Customer Focus
Drives Results
Manages Conflict
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