Synthesize complex analytical tasks into easily understood data-driven stories and solve real-world business problems.
Requirements
- 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.)
- Work experience with MS Excel, MS Access, SQL Server, Teradata, Oracle, or comparable database systems.
Responsibilities
- Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests
- Executes existing reporting and analytical responsibilities
- Ensures the quality of work output by displaying a keen attention to detail
- Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture
- Develops additional technical competencies and subject matter expertise within core functional group
- writing SQL/code, statistics, machine learning
- writing SQL/code, statistics, machine learning
Other
- Typically requires overnight travel less than 10% of the time.
- 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.
- Prior direct experience in analyzing the relevant subject matter (e.g. Supply Chain, Merchandising, Operations, etc.)
