Sr. Data Analyst, Supply Chain Data Quality

About the position

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.

Responsibilities

• Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests (30%)
• 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 (20%)
• Develops additional technical competencies and subject matter expertise within core functional group (10%)

Requirements

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• 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.)
• Work experience with MS Excel, MS Access, SQL Server, Teradata, Oracle, or comparable database systems.

Nice-to-haves

• B.S. in Computer Science, Math, Engineering, Finance, or related quantitative field.