Informatics Analyst ARZ

Mayo Clinic • Phoenix, AZ

1d • Hybrid

About The Position

This position utilizes analytical, technical, and statistical techniques, quality knowledge, and workflow management skills in data management, governance, and analytics. Collaborates with Quality and IT colleagues on decisions involving data collection methods, writing, and archival, as well as the application of appropriate statistical methods and development of analytical solutions. Understands and considers both the business/practice and the technical needs of the tasks. Acts as a liaison between Quality Management Services and other institutional groups, linking business information requirements to data and analytic solutions. Serves as a resource providing system design/build, support, maintenance and education for data and analytic solutions. This position is hybrid, individual must live within driving distance to campus. This vacancy is not eligible for sponsorship / we will not sponsor or transfer visas for this position. During the selection process, you may participate in an OnDemand (pre-recorded) interview that you can complete at your convenience. During the OnDemand interview, a question will appear on your screen, and you will have time to consider each question before responding. You will have the opportunity to re-record your answer to each question - Mayo Clinic will only see the final recording. The complete interview will be reviewed by a Mayo Clinic staff member and you will be notified of next steps.

Requirements

• Master’s degree in computer science, analytics, engineering, informatics, nursing, statistics, or business along with a minimum of three years of applicable work experience; or a bachelor's degree in computer science, analytics, engineering, informatics, nursing, statistics, or business along with a minimum of five years applicable work experience; or if Doctorate degree, one year of relevant experience.
• Understanding of health care industry, and associated key quality performance drivers, regulatory requirements, the electronic health record environment (i.e. Epic, Clarity) and the latest industry developments in analytics or demonstrated commitment and/or desire to learn is required.
• Knowledge of data analytic tools such as Business Objects, Crystal Reporting, SQL Script, Excel, Tableau, or similar.
• Expected level of data mining experience in software programming using OR packages, simulation, R, Python or SAS, and other data mining tools.
• Demonstrated oral and written communication skills required.
• Applicable work experience includes data warehousing fundamentals, utilization of applications for data extraction, integration, and delivery.
• Experience in developing analytics tools that can be used by other staff with non-technical expertise.
• Statistical and optimization modeling techniques to build, predict, maintain, and improve on multiple real time decision systems; models and frames business scenarios that are meaningful and which impact critical business processes and/or decisions.
• Inquisitiveness, along with the ability to think logically and systematically to analyze and evaluate alternate solutions, is expected.
• Strong organizational and documentation skills are essential along with the ability to successfully manage multiple tasks with concurrent deadlines.
• Ability to work both independently and in a team environment are also essential.

Nice To Haves

• Epic electronic health record data and reporting knowledge preferred
• Proficiency in programming languages (e.g., SQL, Python and R) and the use of multiple web-based visualization applications R Shiny, Power BI, and Tableau.
• Understanding and utilization of Large Language Models (LLM) is desired
• Lean Six Sigma experience preferred.
• Mayo Clinic Quality Academy Silver Fellow preferred.
• Clinical credentials or Health Information Management Credentials (i.e. MSN, RN, BSN, RHIA, RHIT, etc.) preferred.
• Achievement of associated certification such as CPHIMS, RN-BC, CPHI or other agreed-upon certification required.

Responsibilities

• Utilizes analytical, technical, and statistical techniques, quality knowledge, and workflow management skills in data management, governance, and analytics.
• Collaborates with Quality and IT colleagues on decisions involving data collection methods, writing, and archival, as well as the application of appropriate statistical methods and development of analytical solutions.
• Understands and considers both the business/practice and the technical needs of the tasks.
• Acts as a liaison between Quality Management Services and other institutional groups, linking business information requirements to data and analytic solutions.
• Serves as a resource providing system design/build, support, maintenance and education for data and analytic solutions.
• Develops innovative and effective approaches to predict and/or solve client's analytics problems and communicates results and methodologies.
• Presents and communicates insights to key stakeholders and leadership.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level