The Home Depot is hiring: Data Science Analyst in Atlanta

Overview

Become a Data Science Analyst at The Home Depot. The Data Science Analyst is responsible for data analytics that support the company's strategic objectives and contribute to the efficiency of the data science team. This role is highly collaborative, working with a variety of data science roles and business functions to design and implement data analysis, tools and reporting capabilities. Another area of responsibility is the cleansing, validation, and maintenance of data sources. You will translate business questions into actionable insights, support ongoing data needs, design tools to facilitate data-driven decisions and deliver high-quality analytical solutions. This requires effective communication and a commitment to continuous learning and development.

Key Responsibilities

• 70% Data Analytics - Collaborate with business stakeholders, data scientists, and business analysts to deliver high-quality analytics solutions; determine the best method to gather, model, manipulate and present data; interpret and translate results from complex analysis into understandable and relevant insights; perform data analytics for a variety of business problems; apply a wide range of database applications and analytical tools, including SQL, Google Cloud BigQuery and Python; evaluate, process, analyze and interpret statistical data
• 20% Data Management - Collaborate with other analysts, data scientists and business partners to explore new data sources; cleanse, validate and test data; standardize and maintain data sources used by the team; gather, model and manipulate existing data using best-practice methodologies
• 10% Technical Learning - Stay up to date on industry trends, best practices and emerging methodologies; continually develop skills in data analytics concepts and methodologies; develop basic data science knowledge through self-learning and collaboration with team members

Direct Manager / Direct Reports

• This position reports to Manager of 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; 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
• Proven experience with data mining and data analysis

Preferred Qualifications

• Working knowledge of Microsoft Office Suite
• Working knowledge of Tableau
• Working knowledge of presentation software (e.g., Microsoft PowerPoint)
• Master's degree in a quantitative field (Analytics, Finance, Information Systems, etc.) or equivalent work experience
• 2-4 years of relevant work experience
• Working knowledge of Microsoft Excel and Power Point
• Experience in a modern scripting language (preferably Python)
• Experience running queries against data (preferably with Google BigQuery or SQL)
• Experience with data visualization software (preferably Tableau)
• Exposure to statistics, predictive modeling and other data science methodologies

Minimum Education

• The knowledge, skills and abilities typically acquired through the completion of a master'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

• 2

Preferred Years Of Work Experience

• No additional years of experience

Minimum Leadership Experience

• None

Preferred Leadership Experience

• None

Certifications

• None

Competencies

• Action Oriented
• Business Insights
• Nimble Learning
• Self-Development
• Collaborates
• Optimizes Work Processes
• Plans and Aligns
• Communicates Effectively
• Customer Focus
• Drives Results