Senior Informatics Analyst

Mayo Clinic•Rochester, MN
•Hybrid

About The Position

The Senior Informatics Analyst uses analytical, technical, and statistical techniques, quality knowledge, and workflow management skills in data management, governance, and analytics. The role leads and oversees tasks, projects, and systems and provides guidance to other team members. It applies advanced expertise to advise Quality and IT colleagues on data collection, documentation and archiving, statistical methods, and analytical solutions, while considering both business/practice and technical needs. The analyst acts as a liaison between Quality Management Services and other institutional groups, translating business information requirements into data and analytics solutions. As an enterprise resource, the position leads system design and build, support, maintenance, and education for data and analytics solutions. The role is hybrid, and the individual must live within 100 miles driving distance of the Rochester campus. The vacancy is not eligible for visa sponsorship or transfer.

Requirements

  • A master's degree in computer science, analytics, engineering, informatics, nursing, statistics, or business and at least five years of applicable work experience; or a bachelor's degree in one of those fields and at least seven years of applicable work experience; or a doctorate degree and one year of relevant experience.
  • Understanding of the health care industry, quality performance drivers, regulatory requirements, and the electronic health record environment (such as Epic and Clarity), or demonstrated commitment and desire to learn.
  • Strong knowledge of data analytics tools such as Business Objects, Crystal Reporting, SQL Script, Excel, Tableau, or similar.
  • Data-mining experience using software programming or packages such as simulation, R, Python, or SAS.
  • Demonstrated leadership qualities and exceptional oral and written communication skills.
  • Applicable experience with data warehousing fundamentals and applications for data extraction, integration, and delivery.
  • Experience developing analytics tools usable by staff without technical expertise.
  • Ability to model business scenarios, develop effective analytics solutions, and communicate results and methodologies.
  • Inquisitiveness and the ability to think logically and systematically when analyzing and evaluating alternative solutions.
  • Strong organizational and documentation skills, and the ability to manage multiple tasks with concurrent deadlines.
  • Ability to work independently and in a team environment.

Nice To Haves

  • Lean Six Sigma experience.
  • Mayo Clinic Quality Academy Silver Fellow.
  • Clinical or Health Information Management credentials, such as MSN, RN, BSN, RHIA, or RHIT.
  • An associated certification such as CPHIMS, RN-BC, CPHI, or another agreed-upon certification.
  • Leadership of automation, informatics, analytics, or digital transformation across regulated healthcare workflows.
  • Experience with hospital quality abstraction, eCQMs, CMS hospital quality reporting, measure specifications, value sets, validation, data-quality controls, or submission processes.
  • Ability to translate and communicate regulatory and clinical requirements to technical and clinical partners.

Responsibilities

  • Lead and oversee tasks, projects, and systems, and provide guidance to other team members.
  • Advise Quality and IT colleagues on data collection methods, writing and archival, statistical methods, and analytical solutions.
  • Link business information requirements to data and analytic solutions as a liaison between Quality Management Services and other institutional groups.
  • Provide enterprise leadership for system design and build, support, maintenance, and education for data and analytic solutions.
  • Develop analytics tools usable by staff without technical expertise.
  • Use advanced statistical and optimization modeling techniques to build, predict, maintain, and improve real-time decision systems.
  • Frame business scenarios that affect critical processes or decisions and develop approaches to predict or solve analytics problems.
  • Communicate analytical results and methodologies, and present insights to key stakeholders and leadership.
  • Manage multiple tasks with concurrent deadlines and maintain strong documentation.
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