Two candidates describe Optum data analyst interviews that combine a recruiter screen with a case exercise or take-home analysis on healthcare data. Communication with non-technical stakeholders also came up.
$93K
Avg. Base Comp
$116K
Avg. Total Comp
2-3 rounds
Typical Rounds
Not reported
Process Length
Candidates describe Optum data analyst interviews as practical and healthcare-focused. One Business Data Analyst candidate reports a recruiter call, a video interview with the hiring manager, and a case exercise on evaluating performance metrics in a healthcare context, which they called the hardest part. The hiring manager asked them to describe a time they explained a complex analysis to a non-technical stakeholder, so have a concrete story ready.
A second candidate, for a Data Analyst role, reports a take-home assessment built on medical data. It came with five datasets covering patient records and insurance claims, a suggested limit of about three hours, and a free choice of coding language. Some questions were direct, such as counting patients with more than five diagnoses. Others were open-ended, such as finding the most expensive diagnosis combination. Practice joining and aggregating claims-style tables and stating your assumptions clearly.
The process was not smooth for either candidate. One described unclear skill-assessment timing and mixed signals between HR and the hiring manager. The other waited over six weeks after submitting the assessment and then withdrew when an interview did not go ahead. Ask each recruiter for the next steps and timing, and learn how Optum's analytics supports healthcare operations before you interview.
Synthesized from 3 candidate reports by our editorial team.
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Real interview reports from people who went through the Optum process.
I applied online and got a call from the recruiter about a week later. The whole process took roughly three weeks from start to finish. It started with a 30-minute phone screen where we covered my background, analytics experience, and salary expectations. That felt pretty straightforward — they were just getting a sense of who I was and whether we were aligned on basics.
Next came a video interview with the hiring manager that went deeper into my past projects and how I'd approached analytics work. They asked me to walk through a time I'd had to explain a complex analysis to a non-technical stakeholder, which was their way of testing communication skills. The conversation felt natural and they were easy going, but I could tell they were probing to see how I'd actually perform in the role.
After that came a case exercise, which was the most challenging part. They wanted to see how I'd approach a real problem — evaluating performance metrics and thinking through what would matter in a healthcare context. That's where things got technical. There was also mention of a skill assessment round, though the format and timing of that varied depending on which interviewer I was talking to, which created some confusion on my end about what exactly they were evaluating.
One thing that stood out was the discrepancy between what HR and the hiring manager seemed to be looking for. The overall panel was strong and the questions felt appropriate for the role, but there wasn't total alignment internally, which I picked up on during the process. The interviewers emphasized understanding the business well and how the team works with US-based groups, so doing your homework on Optum's operations in healthcare is important.
Prep tip from this candidate
Since they emphasize healthcare domain knowledge, spend time understanding Optum's business model and how analytics fits into healthcare operations before your interviews. Prepare specific examples of explaining technical findings to non-technical stakeholders — that came up explicitly and they want concrete stories, not generic answers.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Optum
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Synthesized from candidate reports. Individual experiences may vary.
Candidates report starting with a recruiter conversation. One describes a roughly 30-minute phone screen covering background, analytics experience and salary expectations. Another describes an easygoing chat about their CV and motivations. Expect to explain why you want a healthcare analytics role.
One Business Data Analyst candidate reports a video interview with the hiring manager that went deeper into past projects and analytics approach. They were asked to describe explaining a complex analysis to a non-technical stakeholder. Not every candidate mentions this stage, so treat it as a likely but unconfirmed step.
Candidates report a technical exercise, though the format differed. One describes a case on evaluating performance metrics in a healthcare context. Another received a take-home assessment with five medical datasets (patient records and insurance claims), a one-week deadline and a suggested three-hour limit. Language choice was open, and Python was used.
Reported timelines varied. One candidate describes about three weeks end to end. Another heard nothing for over six weeks after submitting the assessment, then withdrew when a scheduled interview did not go ahead. Candidates may want to confirm next steps and timing in writing after each stage.
