DECISION SUPPORT ANALYST I

The Decision Support Analyst I at the University of Maryland Medical System is responsible for coordinating financial and integration activities, developing informative presentations, creating functional dashboards, providing high-quality reporting, and facilitating training for non-finance team members. The role focuses on adapting processes and improving outcomes to support departmental and organizational goals.

To qualify for the Decision Support Analyst I position at UMMS, candidates must possess a Bachelor’s degree in Finance, Accounting, Business Administration, Healthcare Administration, Data Analytics, or a related field. Preferred candidates will have at least one year of experience in finance, accounting, budgeting, or similar roles, with a strong focus on analytical and problem-solving skills.

Essential skills for a successful Decision Support Analyst I at UMMS include proficiency in financial data analysis, strong mathematical abilities, effective communication skills, proficiency in Microsoft Office Suite, and the ability to work collaboratively across teams. Attention to detail and self-motivation are also key qualities for this position.

The expected salary range for a Decision Support Analyst I at the University of Maryland Medical System is between $30.26 and $42.37 per hour. This range reflects the competitive compensation structure that UMMS offers to attract and retain top talent in the healthcare sector.

The Decision Support Analyst I contributes to operational efficiency at UMMS by developing analytical capabilities, implementing high-quality reporting systems, and identifying opportunities for process improvements. This role ensures that financial data is accurately reported and utilized to make informed decisions that enhance overall organizational effectiveness.

In answering this question, focus on specific projects where you analyzed financial data. Explain the tools you used, the outcomes of your analysis, and how it contributed to operational success. Be sure to articulate your thought process and decision-making skills, showcasing your ability to drive improvements based on data.

Employing effective time management techniques is crucial. Describe how you assess task urgency and importance, perhaps using prioritization matrices or software tools. Provide an example of a time when you successfully balanced multiple projects, explaining your approach to staying organized and ensuring quality work.

Discuss the strategies you employ to maintain data integrity, such as cross-checking figures, using reliable sources, and developing documentation for your processes. Emphasize your attention to detail and any tools or software you utilize for data validation.

It’s important to display your willingness to learn and adapt. Describe how you actively seek feedback and use it to improve your work. Provide an example of how constructive criticism led to a positive change in your reporting or analysis methods.

Share a specific instance where you identified a process that needed improvement, the steps you took to address it, and the resulting benefits. Highlight quantitative metrics if possible, such as decreased turnaround times or saved resources, showing your impact on the organization.

List the tools you are familiar with, such as Excel, Power BI, or any specialized healthcare financial software. Discuss your level of expertise and any relevant certifications that showcase your skills in data analysis and reporting.

Express your commitment to continuous learning. Discuss strategies you employ to keep abreast of industry changes, such as attending conferences, participating in relevant training sessions, or subscribing to healthcare finance publications, and how these efforts enable you to make informed financial decisions.

Explain your approach to cross-departmental collaboration. Share a specific example of a project where you successfully worked with other teams, describing the impact of this collaboration on achieving a common goal and how effective communication played a role in the process.

Highlight your ability to simplify complex concepts. Discuss techniques you use, such as utilizing visuals, analogies, and layman’s terms to communicate effectively, demonstrating your understanding of the audience's level of expertise and how to bridge any knowledge gaps.

Share what excites you about data analysis and the healthcare sector. Whether it's the impact of informed decision-making on patient care or the satisfaction of solving complex problems, articulate how your passion aligns with UMMS's commitment to compassionate care and operational excellence.