Four candidates describe Fiserv analyst interviews that mix resume walkthroughs, behavioral questions, basic SQL and business-case reasoning, with formats ranging from one panel to three rounds.
$87K
Avg. Base Comp
$105K
Avg. Total Comp
Not reported
Typical Rounds
Not reported
Process Length
Fiserv's data and analyst interviews, as four candidates describe them, lean toward communication and business reasoning more than hard technical drilling. Three of the four reports are for Technology Analyst titles, and one is labeled Data Analyst, so treat the details as related rather than identical.
The clearest theme is turning messy data or a vague business problem into a structured approach. One candidate was asked how to pull insights from a large volume of unfiltered call center data and tie them to business objectives. Another was asked why a company's sales might be falling and how to solve it. A third was asked how to find the source databases for a migration. In each case the candidates say the interviewers cared about the reasoning more than a perfect answer.
Technical checks appear to be basic. Candidates mention simple SQL, array and DSA questions, OOP examples and one weighing brain teaser. One candidate also describes a small SQL exercise and STAR-style behavioral questions. Expect to explain the projects on your resume in detail, since two candidates say this came up directly.
Formats vary. Reports include a recruiter screen followed by a Teams panel with the team manager, a roughly 30 to 40 minute Zoom conversation, and a three-round sequence with phone, in-person and Zoom stages. One candidate who got a positive signal from the hiring manager then waited a week for HR to respond, so following up is reasonable.
To prepare, practice narrating a revenue-decline analysis out loud, brush up on basic SQL, and have two or three projects ready to discuss in depth.
Synthesized from 5 candidate reports by our editorial team.
Had an interview recently?
Share your experience. Unlock the full guide.
Real interview reports from people who went through the Fiserv process.
Share your own interview experience to unlock all reports, or subscribe for full access.
Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Fiserv
Write a function n_frequent_words that returns the top N frequent words and their frequencies, and state its run-time
| Question | |
|---|---|
| Valid Anagram | |
| Target Indices | |
| Counting File Lines | |
| Diagnosing Query Speed Degradation | |
| Converted Sessions | |
| Testing Constraints | |
| Your Strengths and Weaknesses | |
| Evaluating Revenue Decline | |
| Empty Neighborhoods | |
| 2nd Highest Salary | |
| Rolling Bank Transactions | |
| Employee Salaries | |
| Comments Histogram | |
| Top Three Salaries | |
| Closest SAT Scores | |
| Last Transaction | |
| Monthly Customer Report | |
| Payments Received | |
| Paired Products | |
| Total Spent on Products | |
| Button AB Test | |
| Top 3 Users | |
| Experiment Validity | |
| Find the Missing Number | |
| Swipe Precision | |
| Like Tracker | |
| Google Maps Improvement | |
| Bagging vs Boosting | |
| Subscription Overlap |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report an initial recruiter or HR conversation that covers the role, the company and your background. One candidate describes it as a friendly behavioral phone call, and another says it began with a resume walkthrough. Expect to summarize your experience clearly.
Several candidates say interviewers asked them to explain past projects and connect them to the role. One was asked for examples of using object-oriented principles in their work. Prepare to describe your decisions, the data involved and the outcomes in plain language.
Candidates report simple SQL, array or DSA questions, a small SQL exercise, and in one case a coin-weighing brain teaser. They describe the level as basic, with interviewers focused on how you think rather than on memorized answers. Thinking aloud and asking clarifying questions may help.
Candidates describe open-ended prompts, including why sales might be falling, how to extract value from call center data, and what to do when a project is running short on time. A panel including the team manager conducted one such session. Structure your answer from clarifying the goal through to the metrics you would use.
Outcomes in these reports include an accepted offer, an offer received within a few days, a declined offer and a no-offer result. One candidate reports a week of silence from HR after a positive manager conversation, so a polite follow-up may be worthwhile if you hear nothing.
