Not specified (assumed hybrid based on industry trends)
Intermediate microsoft excel skills
Intermediate microsoft access skills
Bachelor's degree in business or finance
Medline Industries LP is seeking an Associate Business Operations Analyst to assist in data research and financial analysis to support business operations. The ideal candidate should have relevant analytical skills, a background in business or finance, and proficiency in Microsoft Excel and Access. The role offers competitive compensation and a comprehensive benefits package in a dynamic work environment
Job Summary
The role involves performing basic data research and financial analysis to support business operations under direct supervision.
Medline offers a competitive compensation package including medical/dental/vision/life insurance and a 401(k) with company match.
Candidates are expected to analyze scorecards, monitor data accuracy, and recommend solutions for business operational issues.
Matching Summary
Match Score: 75
Medline Industries LP is seeking an Associate Business Operations Analyst to assist in data research and financial analysis to support business operations. The ideal candidate should have relevant analytical skills, a background in business or finance, and proficiency in Microsoft Excel and Access. The role offers competitive compensation and a comprehensive benefits package in a dynamic work environment.
Salary
Base: $54,000.00 - $81,000.00 Annual; Bonus/Equity: Bonus and/or incentive eligible; Benefits: Health insurance, life/disability, 401(k), paid time off
Skills & Requirements
Must-have
Intermediate Microsoft Excel skills
Intermediate Microsoft Access skills
Bachelor's degree in Business or Finance
Nice-to-have
Experience with SAP and FoxPro
Analytical role in sales environment
Visual Basic experience preferred
Key Requirements
Bachelor's degree in Business, Finance, Accounting, Information Systems, Mathematics, or Applied Statistics
Intermediate proficiency in Microsoft Excel functions and formatting
Intermediate proficiency in Microsoft Access query design and data modification