Associate Data Scientist - FP&A Pro Intelligence, Decision Analytics

The Home Depot; Atlanta (GA); On-site; USD 90,000 - 120,000; Full time

Job summary

The Home Depot is seeking an Associate Data Scientist to join the Pro Intelligence analytics team in Atlanta. You will translate business needs into data-driven solutions, build enterprise dashboards, and collaborate with Pro Sales to drive growth for key customers.

As you grow, you will expand into predictive modeling and IT-enabled deployment, working with stakeholders across the enterprise to ensure impactful insights and scalable analytics solutions.

Qualifications

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• Bachelor's degree in a quantitative field (Analytics, Statistics, Math, Computer Science, Engineering, Economics, etc.); Master's degree or equivalent work experience preferred
• 3+ years of experience in business intelligence and analytics
• Strong proficiency in SQL, including writing complex queries and working with large datasets (preferably Google BigQuery)
• Advanced experience with Tableau or other BI tools, including building dashboards and self-service reporting that business partners actually use.
• Experience solving complex analytical problems and using statistical techniques to uncover insights and drive business decisions
• Strong communication and storytelling skills, with the ability to present findings and recommendations to senior business stakeholders
• Working knowledge of Microsoft Excel and PowerPoint
• Basic knowledge or exposure to Prescriptive Modeling
• Experience in a modern scripting language (preferably Python)
• Exposure to predictive modeling, including model building, validation and performance monitoring
• Exposure to model deployment or working with IT/engineering partners to productionize solutions (preferred)

Responsibilities

• 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge
• 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation
• 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings

Skills

SQL

Communication

Storytelling

Problem solving

Education

Bachelor's degree in a quantitative field

Master's degree or equivalent experience

Tools

Tableau

Google BigQuery

Python

Excel

PowerPoint

Prescriptive Modeling

Job description

Position Purpose

The Associate Data Scientist will work on the Pro Intelligence team, the analytics and data science engine behind The Home Depot's Pro business. Our team partners with Pro sales reps and the Pro Desk to turn data into insights and solutions that drive growth with our most valuable customers. Our team owns the core Pro models, dashboards and data solutions that leaders and teams across the enterprise rely on every day, so your work will have high visibility and business impact. In this role, you will work closely with the Pro Ops team to understand the business, translate their needs into analytical problems, and deliver data-driven solutions using advanced SQL, Tableau and other BI tools. You will maintain and build enterprise dashboards, answer questions from the users who depend on them, and provide insights that help Pro teams make better decisions. You will also grow into data science work alongside our Data Scientists, including predictive modeling and deployment with IT. Success requires strong business acumen, the ability to solve complex analytical problems, clear communication with technical and non-technical audiences, and a commitment to continuous learning.

Key Responsibilities

• 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge
• 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation
• 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings

Direct Manager/Direct Reports

• This position reports to manager or above
• This position has 0 direct reports

Travel Requirements

• No travel required.

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

• Bachelor's degree in a quantitative field (Analytics, Statistics, Math, Computer Science, Engineering, Economics, etc.); Master's degree or equivalent work experience preferred
• 3+ years of experience in business intelligence and analytics
• Strong proficiency in SQL, including writing complex queries and working with large datasets (preferably Google BigQuery)
• Advanced experience with Tableau or other BI tools, including building dashboards and self-service reporting that business partners actually use.
• Experience solving complex analytical problems and using statistical techniques to uncover insights and drive business decisions
• Strong communication and storytelling skills, with the ability to present findings and recommendations to senior business stakeholders
• Working knowledge of Microsoft Excel and PowerPoint
• Basic knowledge or exposure to Prescriptive Modeling
• Experience in a modern scripting language (preferably Python)
• Exposure to predictive modeling, including model building, validation and performance monitoring
• Exposure to model deployment or working with IT/engineering partners to productionize solutions (preferred)

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

• 0

Preferred Years of Work Experience

• No additional years of experience

Minimum Leadership Experience

• None

Preferred Leadership Experience

• None

Certifications

• None

Competencies

• Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
• Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
• Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
• Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
• Customer Focus: Building strong customer relationships and delivering customer-centric solutions
• Drives Results: Consistently achieving results, even under tough circumstances
• Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
• Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
• Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
• Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels