Most Important Skills For An Institutional Research Manager At California University Of Science And Medicine
Margarita, an Institutional Research Manager, emphasizes that strong communication skills – "verbal, written, in data form" – are crucial for success in her field, complementing the detailed orientation needed to thoroughly analyze data and projects using tools like Excel and "some sense of coding" to build effective dashboards.
Data Analysis, Communication, Detail-Oriented, Excel/Software Skills, Technical Skills
Advizer Information
Name
Job Title
Company
Undergrad
Grad Programs
Majors
Industries
Job Functions
Traits
Margarita Bolanos
Institutional Research Manager
California University Science and Medicine School of Medicine
University of California Los Angeles (UCLA)
California State University Fullerton (CSUF) Post-Baccalaureate Program; California University of Science and Medicine (CUSM) Master of Biomedical Sciences
Spanish & Other Languages
Education
Research and Development (R&D)
Honors Student, Scholarship Recipient, Pell Grant Recipient, Worked 20+ Hours in School, Greek Life Member, Student Athlete, First Generation College Student
Video Highlights
1. Excellent communication skills (verbal, written, and data visualization) are crucial for conveying research findings effectively.
2. A keen eye for detail is essential for identifying crucial variables and ensuring thorough data analysis.
3. Proficiency in data analysis tools like Excel and potentially coding for dashboard creation is necessary for technical tasks.
Transcript
What skills are most important for a job like yours?
There are many skills that go into data analysis and research. One of the main ones is communication, whether that's verbal, written, or in data form. Communication is key to getting anything across.
Aside from that, being very detail-oriented is important. You need to be able to pick up on things that most people might miss, whether that's in a dataset or a description. This helps you understand the variables that go into the research you're conducting.
This way, you're able to do a thorough analysis of the project you're currently working on. As I mentioned, I work a lot with Excel, so knowing a lot about formulas and, in some sense, coding to create dashboards are the technical skills I use in my day-to-day life.