This position will specifically support Accreditation within the Risk Management department, developing analytics, automation, and data visualization solutions that improve efficiency, insight, and decision-making. The role will partner with Accreditation and other stakeholders to translate healthcare, quality, risk, and accreditation needs into actionable analytics, automated workflows, dashboards, and self-service tools. A key focus will be using automation, analytics, and emerging technologies to make accreditation-related processes more efficient, scalable, and proactive while supporting strong data quality, standardization, and governance.
Develop, implement, and maintain automations and analytics visualizations in Co-Pilot, Python, SQL, RPA (Robotic Process Automation) tools, Tableau, Looker, Power BI, workflow automation platforms and other cutting-edge third-party visualization tools. Manage a varied workload of projects and products with multiple priorities while also staying current on healthcare trends and enterprise changes. Present data, insights, and learnings to stakeholders in a valuable format. Work with a variety of different teams to apply new analytical capabilities to dashboards. Automate various processes and develop reusable, self-service analytical tools. Identify business problems and apply data, analytics, and technology to solutions to generate value for the business. Understand your role in data quality and stewardship, promote data use and re-use, and champion data standardization and governance best practices.
Key Responsibilities:
Analytics/Data Management, Business Process Automation:
- Mastery of at least one data visualization tool. Experience building in at least two data visualization tools. Demonstrated ability to complete data transformations for visualization in SQL. Demonstrated success in launching at least four significant data visualization solutions at a complex organization.
- Working knowledge of coding & scripting languages such as Python and SQL is required.
- Analytical skills and the ability to identify and recommend solutions and a commitment to customer service.
- Strong verbal and written communication skills, attention to detail, and a high capacity for learning and problem resolution skills.
- Demonstrated ability evaluating the quality of data, driving best practices and adoption of standardized toolsets, and building confidence in the fidelity and discoverability of trusted data.
This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.
This position is a limited tenure position with an anticipated end date of 18-24 months.
Qualifications- Bachelor's degree in business, statistics, data science, healthcare, computer science, economics, or a related field required. Master's preferred.
- Experience in the healthcare field required.
- Minimum of three years' experience analyzing data and working with data visualization/automation tools.
- Interpersonal skills, time management skills, and demonstrated experience working on cross-functional teams required.
Preferred Skills:
- Experience working with structured and unstructured data is preferred.
- Working knowledge and experience with big data, statistics, and machine learning is preferred.
- The ability to navigate Linux and Windows operating systems is preferred.
- Experience in DataOps/DevOps and agile methodologies is preferred.
The position requires strong project management, organization, documentation, and stakeholder partnership skills to manage multiple initiatives and develop sustainable, maintainable solutions. Strong technical capabilities and healthcare experience are most important; experience in Healthcare Quality, Healthcare Risk Management, accreditation, regulatory compliance, or applying analytics and automation within these areas would be preferred.
About UsMayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
- Medical: Multiple plan options.
- Dental: Delta Dental or reimbursement account for flexible coverage.
- Vision: Affordable plan with national network.
- Pre-Tax Savings: HSA and FSAs for eligible expenses.
- Retirement: Competitive retirement package to secure your future.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
Skills Required
- Bachelor’s degree in business, statistics, data science, healthcare, computer science, economics, or a related field
- Healthcare field experience
- At least three years of experience analyzing data and working with data visualization or automation tools
- Mastery of at least one data visualization tool and experience building solutions in at least two visualization tools
- Experience performing data transformations for visualization using SQL
- Working knowledge of Python and SQL
- Experience launching significant data visualization solutions in a complex organization
- Ability to evaluate data quality and promote standardized toolsets, data stewardship, and governance
- Interpersonal, time management, communication, project management, organization, and documentation skills
- Demonstrated experience working on cross-functional teams
- Master’s degree
- Experience with structured and unstructured data
- Working knowledge of big data, statistics, and machine learning
- Ability to navigate Linux and Windows operating systems
- Experience with DataOps, DevOps, and agile methodologies
- Experience in healthcare quality, risk management, accreditation, regulatory compliance, or related analytics and automation
Mayo Clinic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mayo Clinic and has not been reviewed or approved by Mayo Clinic.
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Retirement Support — A no-cost pension plus an employer-matched 403(b)/401(k) is positioned as a standout differentiator, offering strong long-term financial security. Feedback suggests this retirement combination elevates overall total rewards even when base pay is moderate.
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Healthcare Strength — Expanded medical networks, enhanced fertility coverage, and employer absorption of a plan year’s premium increases point to robust healthcare offerings. Feedback suggests annual updates maintain breadth and competitiveness of coverage.
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Parental & Family Support — Adoption assistance, dependent scholarships, child and elder-care resources, and EAP services provide meaningful family-oriented support. Feedback suggests these programs add tangible value beyond salary alone.
Mayo Clinic Insights
What We Do
Mayo Clinic is the first and largest integrated, not-for-profit medical group practice in the world. Doctors from every medical specialty work together to care for patients, joined by common systems and a philosophy of "the needs of the patient come first." More than 3,800 physicians and scientists and 50,900 allied health staff work at Mayo Clinic, which has sites in Rochester, Minn., Jacksonville, Fla., and Scottsdale/Phoenix, Ariz. Mayo Clinic also serves over 70 communities through Mayo Clinic Health System with locations in MN, IA, and WI. Collectively, these locations care for more than 1 million people each year.
