Data Analyst
Req154371 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
- This postion reports to Manager
- This position has no Direct Reports
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
- 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
- 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.
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