Sr. Data Analyst, Inventory Solutions

Home Depot USA Inc.
Atlanta, United States of America
17 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Atlanta, United States of America

Tech stack

Microsoft Access
Java
.NET
Microsoft Excel
Business Analytics Applications
Data analysis
C++
Databases
Data Mining
R
SPSS (Software)
Python
Machine Learning
Mathematica
Microsoft SQL Server
Oracle Applications
SAS (Software)
SQL Databases
Tableau
Teradata
Scripting (Bash/Python/Go/Ruby)
JMP (Statistical Software)
Information Technology
Vba Programming Language
Data Analytics

Job description

A Sr Data Analyst Supply Chain leverages proven technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively among other talented analysts to apply established and create new analytical processes on diverse datasets to deduce insights and solve real-world business problems. Also ensures that all reporting and analytical responsibilities are completed competently in a timely manner, continually seeks out opportunities to learn new and hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and operates under minimal supervision and mentorship of more experienced managers and data scientists., * 30% Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests

  • 20% Executes existing reporting and analytical responsibilities
  • 20% Ensures the quality of work output by displaying a keen attention to detail
  • 20% Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture
  • 10% Develops additional technical competencies and subject matter expertise within core functional group

Direct Manager/Direct Reports:

  • This position reports to Manager or Sr Manager
  • This position has no Direct Reports

Travel Requirements:

  • Typically requires overnight travel less than 10% of the time.

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.

Requirements

  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:

  • 2-4 years work experience in data mining, statistical analysis, auditing, and/or forecasting.
  • An intermediary understanding of SQL or working directly with MS Access joining relational tables together and/or some knowledge of one other scripting/compiled/statistical programming language (e.g. VBA, Python, R, SAS, .NET, C++, Java, etc.)
  • Experience building reports/analyses with analytical tools (e.g. Excel, JMP, SAS, Mathematica, SPSS, Tableau, etc.)
  • Prior direct experience in analyzing the relevant subject matter (e.g. Supply Chain, Merchandising, Operations, etc.)
  • B.S. in Computer Science, Math, Engineering, Finance, or related quantitative field.
  • Work experience with MS Excel, MS Access, SQL Server, Teradata, Oracle, or comparable database systems.

Minimum Education:

  • The knowledge, skills and abilities typically acquired through the completion of a bachelor'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, * Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.
  • An unquenchable intellectual curiosity for getting at the underlying story being told within the data.
  • Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.
  • Superior interpersonal skills and ability to collaborate actively and work in a team environment.
  • Ability to quickly learn and adapt to new technologies, tools, and techniques.

Benefits & conditions

  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

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