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Data Analyst

The Cross-Reference Team is responsible for the processing, maintenance and accuracy of Medline’s cross-reference data and requests. This is the process of using competitors’ item numbers to determine the corresponding Medline item number.

 

The Cross-Reference Analyst is responsible for leading data-driven projects that focus on improving quality, availability, and governance of cross-reference data records. The Data Analyst may be assigned specific focus domains or take on more generalized tasks as needed. Requires collaboration with team members, Sales Teams, Product Divisions, and other business units, and communication with various levels of management.

 

  • Identify data and reporting tools necessary to/and perform business, and data analysis. Develop reporting/analysis for product manager, and/or sales. Communicate the results of the business, and data analysis.
  • Understand the impact of cross-reference data changes within Medline’s business systems. Anticipate downstream consequences of change on other business areas and systems.
  • Develop and analyze data, providing insight into trends or unusual performance. 
  • Organize, plan and recommend analysis and reports consistent with continuous improvement of processes and procedures.  
  • Recommend, develop, create and implement standard reporting for routine and ad hoc business reports as business conditions necessitate.
  • Monitor for data accuracy, timeliness and integrity in data used in analysis and reporting. Communicate to appropriate personnel if data inaccuracies exist.
  • Ensure follow-up so that analysis and reporting outcomes are reviewed and implemented.
  • Train sales reps on the new Cross Reference tool 

 

Education

Bachelor’s degree and at least 1 year of experience in data analysis 


Additional

  • Experience analyzing and reporting data in order to identify issues, trends, or exceptions.
  • Experience applying advanced knowledge of data manipulation and reporting tools such as Excel
  • Experience processing all relevant details, understanding and prioritizing their importance and drawing clear and concise conclusions


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