Data Science Analyst
Data Science Analyst
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
With a career at The Home Depot you can be yourself and also be part of something bigger.
Position Purpose:The Data Science Analyst is responsible for data analytics that support the companys 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 datadriven 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 selflearning 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)
- Masters degree in a quantitative field (Analytics Finance Information Systems etc. or equivalent work experience
- 24 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 masters 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
- SelfDevelopment
- Collaborates
- Optimizes Work Processes
- Plans and Aligns
- Communicates Effectively
- Customer Focus
- Drives Results
Required Experience:
IC
Employment Type
Full-Time
