Data Analyst - Supply Chain

Position Purpose:

A Data Analyst Supply Chain leverages technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively with other analysts to apply established 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 seeking out opportunities to hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and learn new skills. Operates under the supervision and mentorship of more experienced managers and data scientists.

Key Responsibilities: - 30% Executes existing reporting and analytical responsibilities - 20% Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests - 20% Ensures the quality of work output by displaying a keen attention to detail - 20% Develops additional technical competencies and subject matter expertise within core functional group - 10% Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture

Direct Manager/Direct Reports: - This postion reports to 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: - Work experience with SQL Server, Teradata, Oracle, or comparable database systems - 1-3 years work experience in data mining, statistical analysis, auditing, and/or forecasting. - 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

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: - 0

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.