Pnc Data and Business Analytics interview typically runs 2 rounds: initial interview, then follow-up interview. The process took about 2 interviews and was experience-focused.
$76K
Avg. Base Comp
$115K
Avg. Total Comp
2
Typical Rounds
1-2 weeks
Process Length
Our candidates report that PNC’s Data and Business Analytics interviews lean heavily on whether you can turn a vague business goal into measurable progress. The recurring theme is not technical trickery, but ownership under ambiguity: one candidate described being tested on how they handle an end goal without much direction, with the interviewer probing the actions they would take and the metrics they’d watch. That tells us PNC is looking for analysts who can operate like problem-solvers, not just task executors.
We also see a strong emphasis on motivation and fit for the move itself. Multiple questions centered on why the candidate wanted to leave their current role and what they expected from future roles, which suggests the team is listening for a coherent career story rather than a rehearsed pitch. In practice, that means candidates who can connect past work to the kind of business impact PNC needs tend to land better than those who speak only in job titles and responsibilities.
The lone behavioral question we saw — strengths and weaknesses — fits the same pattern: they want self-awareness, but in a way that ties back to execution. The best responses in this process are concrete, metric-aware, and grounded in real examples. If we had to name the hidden bar here, it’s this: can you show that you’ll make good decisions when the path is unclear, and can you explain how you know those decisions worked?
Synthetized from 1 candidates reports by our editorial team.
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Topics based on recent interview experiences.
Featured question at Pnc
What do you tell an interviewer when they ask you what your strengths and weaknesses are?
| Question | |
|---|---|
| 2nd Highest Salary | |
| Empty Neighborhoods | |
| Find the Missing Number | |
| Cumulative Distribution | |
| Rolling Bank Transactions | |
| Comments Histogram | |
| Bagging vs Boosting | |
| Employee Salaries | |
| 500 Cards | |
| Closest SAT Scores | |
| Top Three Salaries | |
| Subscription Overlap | |
| Paired Products | |
| Hurdles In Data Projects | |
| Slacking Employees Salaries | |
| P-value to a Layman | |
| Size of Joins | |
| Over 100 Dollars | |
| Minimum Change | |
| Compute Deviation | |
| Total Spent on Products | |
| Google Maps Improvement | |
| Sort Strings | |
| Last Transaction | |
| Department Expenses | |
| Session Difference | |
| Same Side Probability | |
| Random SQL Sample | |
| Cyclic Detection |
Synthesized from candidate reports. Individual experiences may vary.
The first conversation appears to be a general screening focused on your background and motivation for the move. Candidates are asked about past experience, why they want to leave their current role, and what they expect in future roles.
A second interview goes deeper into how you approach business problems with limited direction. The discussion centers on how you would handle an end goal for a project, what metrics you would focus on, and how you think through the steps needed to get there.
Close preparation with examples that show ownership, communication, and how you work with cross-functional partners or technical peers. The available candidate evidence is sparse, so this stage is framed as a practical preparation bucket rather than a claim that every candidate saw a separate formal round. Where the source evidence blended final steps together, this stage captures the final evaluation themes without adding unsupported company-specific claims.