Contractors’ Warehouse —
Data Science Analyst
Location
Atlanta, GA
Category
E-Commerce
Type
Corporate
Job ID
Req110630
Pay Range
For California, Colorado, Connecticut, Hawaii, Rhode Island, Nevada, New York, and Washington residents:
The pay range for this position is between $60,000.00 – $170,000.00.
Starting wage may vary based on a number of factors including, but not limited to, the position being offered, location, education, training, and/or experience. The Home Depot offers additional competitive and non-financial benefits, which may include a performance-based bonus program or a profit sharing program depending on position.
Position Purpose:
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
Paid parental leave to bond with your new addition
401(K) savings plan with company match
Merit increases and performance bonuses
On-the-spot recognition and rewards for a job well done
Paid Time Off (PTO):
Salaried associates are eligible for 2 weeks of vacation in their first year; FT hourly will be eligible for 40 hours of paid vacation time after 6 months of continuous service; (for positions in Washington State, Spokane, and Tacoma only) – Salary and Temporary associates will earn 1 hour of sick time for every 40 hours worked; FT associates will earn 1 hour of sick time for every 40 hours worked or 4 hours per month, whichever is greater; (for positions in Seattle only) – Salary and Temporary associates will earn 1 hour of sick time for every 30 hours worked; FT associates will earn 1 hour of sick time for every 30 hours worked or 4 hours per month, whichever is greater.
Position Purpose:
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
Remote/virtual – An associate in a remote/virtual role typically is not required to work from a designated Home Depot location to complete their job duties. Limited or infrequent in-office presence may be required. We also refer to this as location – independent.
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 online assessment. The assessment usually takes about 17 minutes to complete. You will be directed to the assessment right after you submit your application. Once you click on the link to start the assessment, you will have 96 hours to finish it. You may stop and restart the assessment as many times as you like within the 96-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 ask for an accommodation for the assessment, or you would like more information about the assessment, please click here.
Store Location
GA01
VIRTUAL
Atlanta, GA
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