AddressPosition Purpose:
Key Responsibilities:
Direct Manager/Direct Reports:
Travel Requirements:
Physical Requirements:
Working Conditions:
Minimum Qualifications:
Preferred Qualifications:
Minimum Education:
Preferred Education:
Minimum Years of Work Experience:
Preferred Years of Work Experience:
Minimum Leadership Experience:
Preferred Leadership Experience:
Certifications:
Competencies:
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.
Key Responsibilities:
- 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.
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.
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
Minimum Leadership Experience:
- None
Preferred Leadership Experience:
- None
Certifications:
- None
Competencies:
- 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.
