Senior Automation/Analytics Visual Developer - Limited Tenure

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. 

• 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.