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Financial Analytics Advisor - Remote
Company | Mayo Clinic |
Address | Rochester, MN, United States |
Employment type | FULL_TIME |
Salary | |
Category | Hospitals and Health Care |
Expires | 2023-08-24 |
Posted at | 9 months ago |
Why Mayo Clinic
- Establish and follow best practices related to data analytics and visualization
- This position is 100% remote work. Individual may live anywhere in the US.
- Build, optimize, and maintain analytical models
- Collaborate with other internal Data and Analytics teams to accelerate solution development
- Visa sponsorship is not available for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.
- Train and mentor Finance staff on how to develop analytics and visualization solutions
- Designing visual solutions for storytelling using end user visualization tools
- Document solutions appropriately for handoff to supporting areas
- Automate and develop reusable, self-service analytical tools and report
- Acquire and transform data to optimize for analytics and visualization
- Lead or advise small to medium analytics projects through all project stages
- Bachelor's Degree in Accounting, Finance, Business Administration, Data Science, or Computer Science domain or 5-8 years of experience working with data and analytics delivery.
- Demonstrated portfolio of insightful analytics, dashboards, models, or reports representative of 3-5 years of experience with one or more of the following: Tableau, Power BI, ThoughtSpot, R Studio, Python,
- Experience training Finance staff on visualization and analytics tools, techniques, methods, and best practices
- Knowledge of AI/ML model types as a business owner and consumer of models as well is identifying opportunities to leverage AI/ML.
- Experience with SQL for data retrieval and knowledge of data modeling.
- Healthcare Finance experience, preferably at an Academic Medical Center, preferred
- Knowledge of Epic and/or Clarity data model strongly preferred
- Knowledge of Oracle Cloud ERP and Planning preferred
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