Bank Of America Merrill Lynch Data Analyst interview typically runs 2 rounds: recruiter phone call, video interview with managers. It usually takes about 1-2 weeks and is fairly conversational, with some candidates seeing a HireVue and Superday.
$116K
Avg. Base Comp
$145K
Avg. Total Comp
3-4
Typical Rounds
2-4 weeks
Process Length
Our candidates consistently describe Bank of America Merrill Lynch as friendlier than the reputation suggests, but the bar is still very specific: they want someone who can sound credible in a finance environment, not just someone who can talk through data work. Across experiences, we’ve seen repeated emphasis on clear ownership of past projects, a solid explanation of the tools used, and the ability to connect your background to the actual day-to-day of the role. One candidate noted that even the early conversation tested whether they had really read the job description and understood what the work would look like, which tells us this team is listening for practical judgment, not rehearsed enthusiasm.
A recurring theme is that the technical bar is grounded in business context. For Data Analyst candidates, SQL and query optimization came up, but not in an overly academic way; the real test was whether you could explain how you’d think through a database problem and improve it. At the same time, another candidate was pushed on market awareness, DCF, and investment banking concepts, which is a strong signal that finance fundamentals matter as much as analytics fluency here. We’ve also seen fit questions carry real weight — relocation, role motivation, and even personal prompts like role models — so the non-obvious make-or-break factor is whether your answers feel grounded, confident, and aligned with a Wall Street-style environment.
Synthetized from 2 candidates reports by our editorial team.
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Real interview reports from people who went through the Bank Of America Merrill Lynch process.
Overall, the process felt pretty comfortable and laid-back, but the communication afterward was not great. I started with a recruiter phone call, and then moved into a video interview with three managers. The first conversation was mostly about my background, the projects I had worked on, the tech I used, and a few situational questions about how I handled different work scenarios. They also asked straightforward fit questions like why I would be a good candidate for the role and what my Excel skills were, so it felt like they wanted to see both the technical side and how I presented myself.
The second round was more focused on SQL and query optimization. The questions were basic rather than deeply algorithmic, but they did want to hear how I would think through database questions and improve a query. In my case, I also got asked whether I was willing to relocate, and I think my answer hurt me because I said no pretty quickly. I was a little nervous since it was my first interview, and that probably showed. There was also a very human, conversational tone to the interviews overall, including a question about who my role model was and why. After that, though, I never got clear closure and was left wondering about the status of my application. The main takeaway for me was to be ready to talk clearly about your projects, be comfortable with basic SQL and optimization, and think carefully about how you answer location and fit questions.
Prep tip from this candidate
Be ready to explain your past projects clearly, since the first round leaned heavily on project experience, tech used, and situational questions. Also practice basic SQL plus query optimization, and don’t be caught off guard by fit questions like Excel skills, relocation, or why you’re a good match for the firm.
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Topics based on recent interview experiences.
Featured question at Bank Of America Merrill Lynch
Write a function that returns the shape of an isosceles triangle.
| Question | |
|---|---|
| Deciding Between Solutions | |
| Why Do You Want to Work With Us | |
| Your Strengths and Weaknesses | |
| Credit Score Estimation | |
| 2nd Highest Salary | |
| Empty Neighborhoods | |
| Rolling Bank Transactions | |
| Comments Histogram | |
| Employee Salaries | |
| Closest SAT Scores | |
| Top Three Salaries | |
| Monthly Customer Report | |
| Slacking Employees Salaries | |
| Experiment Validity | |
| Find the Missing Number | |
| Compute Deviation | |
| Bagging vs Boosting | |
| Prime to N | |
| 500 Cards | |
| Last Transaction | |
| Department Expenses | |
| Session Difference | |
| Rain in N Days | |
| Button AB Test | |
| Subscription Overlap | |
| Paired Products | |
| P-value to a Layman | |
| Bank Fraud Model | |
| Swipe Precision |
Synthesized from candidate reports. Individual experiences may vary.
The process starts with a recruiter call to discuss your background, interest in the Data Analyst role, and basic fit. Candidates should be ready to explain their experience, why they want Bank of America, and whether they are open to relocation.
Some candidates complete a virtual HireVue first, which is mostly behavioral and conversational. Expect questions like tell me about yourself, why this role, and why Bank of America, with an emphasis on whether you understand the job description and the day-to-day work.
Candidates then move into a video interview with multiple managers, often three interviewers in one session. This round covers your projects, the technologies you used, situational and fit questions, Excel skills, and how you communicate your background clearly.
The next round focuses on SQL, query optimization, and basic database thinking rather than advanced algorithms. Depending on the team, you may also get finance-oriented questions such as market awareness, investment banking concepts, and valuation basics like DCF.
The final stage is a Superday with back-to-back interviews that mix behavioral and technical evaluation. Interviewers may probe attitude, role fit, and core finance knowledge, and the process can feel more intense than earlier rounds even if the conversations remain friendly.