
Humana Business Analyst interviews, as candidates describe them, often open with an automated or recorded screen and move to recruiter and hiring-manager conversations. Behavioral STAR stories matter most; timelines vary widely.
$95K
Avg. Base Comp
$103K
Avg. Total Comp
2-6 rounds
Typical Rounds
1-4 months
Process Length
Candidates who describe Humana Business Analyst interviews mostly report behavioral and situational questions rather than heavy technical testing. Several accounts start with an automated step, such as a recorded interview, online screening questions or an AI screening tool. A recruiter call or a conversation with the hiring manager typically follows.
One candidate who received an offer describes a recruiter screen followed by a recorded interview with scenario-based questions, including classic "tell me about a time when..." prompts. That candidate was also expected to know Medicare and Medicaid basics and was asked about evening and weekend availability because production loads happen overnight. Another offer recipient reports repeated behavioral questions, a two-minute elevator pitch, and requests to discuss both successful and failed projects and what they learned. One round for that candidate focused on experience building analytical models, though it stayed high level.
The pace varies a lot. One candidate reports about four weeks end to end. Another describes three to four months with a second-round interview. Others report long silences after a promising first call, so keep following up with the recruiter and don't treat a promised next round as certain.
Prepare concise STAR-style stories about handling feedback, pushing back, managing projects, and a project that missed expectations, with clear individual impact.
Synthesized from 12 candidate reports by our editorial team.
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Topics based on recent interview experiences.
| Question | |
|---|---|
| P-value to a Layman | |
| Fair Coin | |
| Always Excited Users | |
| Hurdles In Data Projects | |
| Assumptions of Linear Regression | |
| Covariance vs Correlation | |
| Count Transactions | |
| Multicollinearity in Regression | |
| Your Strengths and Weaknesses | |
| Sports App Cheater | |
| Comments Histogram | |
| Bagging vs Boosting | |
| Top Three Salaries | |
| Data Pipelines and Aggregation | |
| Swap Variables | |
| Ride-Sharing App Schema | |
| Why Do You Want to Work With Us | |
| Risk Assessment Model | |
| Payment Data Pipeline | |
| Stakeholder Communication | |
| International e-Commerce Warehouse | |
| Friend Requests Down | |
| Presentations and Insights | |
| Time Series Discrepancies | |
| Best DAU | |
| Game Feature Home | |
| Building Lyft Line | |
| Bootstrapping Samples | |
| Analyzing Multiple Data Sources |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report starting with an automated step, such as a recorded interview, online screening questions, or an AI screening tool. One candidate found the AI screening questions vague, so prepare concise examples in advance.
Several candidates describe a recruiter or short phone conversation covering background, experience, and fit. One candidate had a short call with a potential direct manager. Another was asked about analytical tools, strengths and weaknesses, and career plans. Expect this stage to vary by team.
Candidates typically report conversations with the hiring manager and sometimes other team members. Questions centered on past projects, handling feedback, pushing back, managing projects, and scenario-based business analyst situations. One candidate also reported Medicare and Medicaid basics and questions about overnight production work.
Some candidates report a second or final round. One described short in-person meetings with the hiring manager, with a director and a manager, and briefly with executive leadership. Others were rejected after the first or second interview, so the number of rounds appears to vary.