Humana Mock Interview
Practice 35 Humana interview questions covering healthcare values, member advocacy, and innovation.
Question 9 of 35
At Humana, we have large patient data sets we need to analyze. Tell me about a large data set you had to analyze and how you added value through your analysis.
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Kimberly is a freelance writer and editor with a decade of experience in the education field, including her time as a pre-kindergarten teacher.
Data analysis is becoming a critical part of any role. Demonstrate an analysis you did that truly made an impact on the business.
Kimberly is a freelance writer and editor with a decade of experience in the education field, including her time as a pre-kindergarten teacher.
"I was looking at year over year data and noticed a huge increase in the number of claims for heart-related incidents in March and April. I did a bit of research on the demographics of the patients in the 45 and under category, and it was an unusually high number of women. I pulled in our community relations team, and they started asking more questions at community engagement events. The stress and anxiety levels of women in that age bracket were very high. After showing my leader this data, she worked with the leader of the community relations to provide more outreach and education to women in this group. Our efforts resulted in a smaller number of claims the following year."
Kimberly is a freelance writer and editor with a decade of experience in the education field, including her time as a pre-kindergarten teacher.
"I watch our department budget like a hawk. I have to analyze financial data to make sure everything aligns. I enjoy this work; it is like putting puzzle pieces together so that all of our needs are met."
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I had the opportunity to work on group work research studies that involve survey responses from a rural community and healthcare professionals. The responses we collected from the rural community didn't quite add up to what we anticipated so I did more digging. There were few occasions that an individual responded to one question more than once and did not respond to one question listed on the survey. I suggested adjusting the population # according to responses per question not the total # of survey responses to better form a conclusive hypothesis for the study. Our efforts resulted in more concise and conducive data analysis and interpretation.
Stephanie's Feedback
This is a thorough, well-rounded response. You do an excellent job of identifying a large data set that you were required to analyze, along with how you added specific value to the analysis.
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