Institutional Research Senior Analyst

UMA is a nonprofit healthcare educational institution with a national presence. Headquartered in Tampa, Florida and founded in 1994, UMA offers content-rich, interactive online programs as well as hands-on training at our Clearwater, Florida campus. 

• Medical (including prescription), Dental, Vision (UMA subsidized)
• FSA/HSA (Depending on Medical Plan chosen)
• $50,000 Life Insurance (UMA paid)
• Additional Voluntary Life Insurance (Team Member paid)
• Employee Assistance Program – EAP (UMA paid)
• Long Term Disability (UMA paid)
• Short Term Disability (Team Member paid)
• Supplemental Insurance such as Critical Illness, Accident, and Hospital (Team Member Paid)
• Paid Time Off – 15 days accrued in year 1, 9 holidays, and 1 day of Volunteering Time Off
• 401k (eligible upon completion of 90 days of employment and must be at least 21 years of age)
• Pet Insurance
• Identity Theft Protection

Purpose of the Position:

The Institutional Research Senior Analyst oversees UMA Education, Inc.’s (“UMAE”) comprehensive survey research program. Key responsibilities include establishing research result databases, designing and administering data collection methods, and providing data, insights, and recommendations for planning and continuous improvement initiatives. The Senior Analyst leverages technical expertise to determine appropriate methodologies to gather and analyze quantitative and qualitative data, which may include surveys, focus groups, content analysis, and benchmarking. Strong computer skills and experience with diverse research methodologies and statistical analysis are essential. The Senior Analyst sets goals, enforces deadlines, and efficiently manages multiple projects simultaneously. The Institutional Research function is dedicated to quality and continuous improvement and fostering effective collaborative team relationships.

What You’ll Do:

1. Designs and administers survey instruments to meet regulatory requirements and for various other stakeholders using best practices in research methodology.
2. Selects appropriate statistical techniques to compile, organize, and analyze data using various software platforms such as Statistical Package for the Social Sciences (SPSS) and Excel.
3. Determines how to present research summaries and presents results to diverse audiences and cross-functional stakeholders
4. Recommends actions for continuous improvement based on analysis
5. Develops and deploys adhoc qualitative and quantitative analyses around new business initiatives and markets
6. Develops and continuously improves data management procedures, programming, documentation, and data organization methodologies.
7. Communicates effectively, both in writing and verbally, across all levels of the organization.
8. Perform other duties as assigned.

Career Level Expectations:

• Experienced role utilizing practical knowledge of the job area.
• Works independently with general supervision.
• Proactively addresses challenging problems.
• May influence others within the job area by explaining facts, policies, and practices.
• Demonstrates a desire for growth and professional development.

Required Skills/Experience:

• Bachelor’s degree in applied math, statistics, finance, economics, computer science, business, social and behavioral science, or related area of study
• Skills
  • Data Analytics
  • Communication Skills (Written, Verbal)
  • Market Research
  • Survey Research/Design
  • Quantitative/Qualitative Research Methods
• Ability to professionally communicate fluently in verbal and written English.
• Ability to support a diverse and inclusive work environment.
• Proficient in MS Office (Word, Excel, PowerPoint) and other business tools such as Microsoft Teams.

Preferred Requirements:

• Master’s degree in applied math, statistics, finance, economics, computer science, business, social and behavioral science, or related area of study.
• 2-4 years’ experience performing data analysis, quantitative research methods, and/or survey research.
• Experience with data visualization techniques and software (i.e., Power BI, Tableau, etc.)
• Experience with survey design and administrative software platforms (i.e., Survey Monkey, Qualtrics, etc.)
• Experience with statistical research methods and software (i.e., Excel, SPSS, etc.)

Compliance: 

• Demonstrate knowledge of, and carefully follow al