Contractors’ Warehouse —
DATA SCIENCE ANALYST
Location – Atlanta, GA
Job ID – Req132088
Category – E-Commerce
Apply By – Applications are accepted on an ongoing basis
Location – Atlanta, GA
Job ID – Req132088
Category – E-Commerce
Company Overview
What’s the best place we’ve ever built? The place where we work. At Home Depot, our goal is to provide the highest level of service, the broadest selection of products, and the most competitive prices. As the world’s largest home improvement specialty retailer, we operate more than 2,200 retail stores across North America. And each of our associates are focused one thing — helping our customers build and improve their homes, businesses, and ultimately their lives.
The Data Science Analyst is responsible for data analytics that support the company’s strategic objectives and contribute to the efficiency of their data science team. This role is very collaborative, working with a variety 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.
As a Data Science Analyst, you will leverage your data analytics skills to 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 skills as well as 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 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 and opportunities; Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python; Evaluate, process, analyze and interpret statistical data
- 20% Management of Data – Collaborate with other analysts, data scientists and business partners to explore new sources of data; 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 – Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Develop basic data science knowledge through self-learning initiatives 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 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.
- 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
Location – Atlanta, GA
Job ID – Req132088
Category – E-Commerce
Role Overview
The Data Science Analyst is responsible for data analytics that support the company’s strategic objectives and contribute to the efficiency of their data science team. This role is very collaborative, working with a variety 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.
As a Data Science Analyst, you will leverage your data analytics skills to 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 skills as well as 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 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 and opportunities; Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python; Evaluate, process, analyze and interpret statistical data
- 20% Management of Data – Collaborate with other analysts, data scientists and business partners to explore new sources of data; 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 – Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Develop basic data science knowledge through self-learning initiatives 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 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.
- 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
Hybrid – An associate in a hybrid role blends in-office and remote/virtual working to complete their job duties. An associate may be required to work from a designated Home Depot location on some days, and may work from a virtual/remote location on others. We also refer to this as location – flex.
Learn more about our 4 different work locations. Additional information will be provided during the application process.
As part of the application process for this role, there will be an on-line assessment. The assessment usually takes about 17 minutes to complete. You will be directed to the assessment link immediately after submitting your application. Once you click on the link, you will need to complete it within 72 hours after starting it. You may stop and restart the assessment as many times as you like within the 72-hour time frame.
During the assessment, we’ll ask you questions about your approach to work and various work-related situations. The questions are based on characteristics that are related to performing successfully in hourly roles at The Home Depot, including:
- Professional Experience
- Learning Potential
- Responsibility
- Customer Focus
If you have a disability and would like to request an accommodation related to the assessment, or you would like to obtain more information about the assessment, click here to learn more.
Store Location
9090
2455 PACES FERRY RD
Atlanta, GA
Once you’ve applied, please come back and apply for other jobs at this store and any store near you.
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