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University of Utah Data Visualization Solution Analyst II in SALT LAKE CITY, Utah

The Solutions Analyst (SA) II is a key customer-facing member within the Medical Group Analytics (MGA) Team who will have the opportunity to drive operational improvements, team direction, and analytics service advancement. As part of the MGA team, the SA II will be expected to possess skills in the following domains: Strategic Thinking, Problem Solving, Analytical Project Management, and Leadership. Strategic Thinking and Problem Solving includes the ability to develop analysis plans for larger, more advanced projects engage health system governance around opportunities (e.g. write, socialize and present strategic recommendations to governance) generate insights from large data sets and develop action plans (e.g. averages, distributions) Understand how analytics-AI and Ethics intersect Analytical Project Management includes the ability to use multiple sources (e.g. basic independent SQL queries, Epic, or SAP BOE) to validate products appropriately shift resource allocations depending on circumstance and need articulate and demonstrate institutional impacts of project requests articulate what success looks like and how to measure it develop and implement internal change control processes for product maintenance, and forecast and articulate future iterations Leadership includes the ability to be a systems thinker articulate and recommended changes in the organization using data articulate to others how organizational changes might impact the strategic direction of the institution serve as thought leader in their specialty domain (healthcare, data visualization or data science) and will be expected to broadly share their experiences work effectively with internal team members to achieve project goals by soliciting feedback and input identify and articulate risks to project completion and propose solutions contribute insights and-or opinions at health system committee meetings and across a variety of institutional-level projects Data Visualization In order to be considered an SA II Data Visualization, the individual must be an expert within data visualization. Data Visualization includes the ability to create data visualizations that convey a full data story to the end user choose the best visualization tool for the project adopt new tools and techniques as needed communicate results in a way that motivates stakeholders to take action apply design best practices in a way that is visually appealing and draws the viewer in