Goldman Sachs Data Analyst candidates report an HR screen followed by a practical analytics interview covering SQL, data cleaning, dashboards, business insights, and stakeholder communication.
$95K
Avg. Base Comp
$140K
Avg. Total Comp
Not reported
Typical Rounds
Not reported
Process Length
Goldman Sachs Data Analyst interview preparation should center on explaining an end-to-end analytics workflow clearly. The direct Data Analyst account begins with an HR conversation about the candidate’s background, SQL experience, and data-analytics experience. Treat this as more than a résumé recap: be prepared to connect prior work to the role’s practical requirements.
The technical discussion described by the candidate covered SQL queries, cleaning data, producing dashboard reports, and problem-solving scenarios. A strong answer connects the analysis to a decision, rather than stopping at a query or visualization. One reported prompt asked how the candidate would examine a large dataset, identify useful business insights, and present findings to stakeholders. Practice narrating your sequence: define the question, check and clean the data, analyze it in SQL, choose an appropriate dashboard view, validate the takeaway, and tailor the recommendation to the audience.
Behavioral questions also addressed teamwork, deadlines, and stakeholder communication. Prepare specific examples that show how you delivered analysis under constraints and made findings understandable to nontechnical partners. The available Data Analyst evidence is limited to one detailed candidate account, so exact format and depth may vary by team.
Synthesized from 1 candidate report by our editorial team.
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Featured question at Goldman Sachs
Given that it is raining today and that it rained yesterday, write a function to calculate the probability that it will rain on the nth day after today.
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Synthesized from candidate reports. Individual experiences may vary.
One candidate reports applying online before an HR screening call. The recruiter discussed the candidate’s background and asked about SQL and data-analytics experience, apparently to assess whether prior work aligned with the role. Prepare a concise walkthrough that connects your tools, datasets, and business impact.
The reported technical round covered SQL queries, data cleaning, dashboard reports, and analytical problem solving. Candidates may be asked to describe how they would work through a large dataset, find useful business insights, and turn those findings into a clear recommendation.
The same account included questions about working with a team, managing deadlines, and communicating with stakeholders. Use concrete examples that show how you prioritize work, explain findings to a nontechnical audience, and keep analysis tied to a business decision.