What are the responsibilities and job description for the DATA SCIENCE ANALYST position at Home Depot?
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 :
Working Conditions :
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 :
Preferred Education :
Minimum Years of Work Experience :
Preferred Years of Work Experience :
Minimum Leadership Experience :
Preferred Leadership Experience :
Competencies : Action Oriented
Business Insights
Nimble Learning
Self-Development
Collaborates
Optimizes Work Processes
Plans and Aligns
Communicates Effectively
Customer Focus
Drives Results
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
