Silicon Valley Bank Data Analyst Interview Questions
The questions to prepare for a Silicon Valley Bank Data Analyst interview. Questions from real interview reports rank first. Updated weekly.
Explain how to profile, clean, and standardize missing or dirty data before analysis.
Silicon Valley BankExplain how INNER JOIN and LEFT JOIN differ, and when to use each for matched-only versus all-left-row analysis.
Silicon Valley BankExplain how to validate SQL data before reporting, including null checks, duplicates, outliers, and aggregation reconciliation.
Silicon Valley BankTests structured troubleshooting, data validation, and prioritization to identify drivers of engagement changes.
Silicon Valley BankFind the top 3 customers in each region by transaction volume using joins, aggregation, and window ranking.
JPMorganChaseSilicon Valley Bank
NaviUse joins, CTEs, and row ranking to resolve conflicting customer profile values across ACME House systems.
Ramsey Solutions
ACME HouseReconcile billing and ERP invoice totals using joins, a CTE for latest snapshots, and CASE-based discrepancy classification.
LiteratiTests communication of complex analytics to nontechnical stakeholders, with emphasis on influence, clarity, and driving action from insights.
Silicon Valley BankTests communication through visualization, stakeholder alignment, and whether the candidate can turn analysis into a clear decision.
Silicon Valley BankTests prioritization under pressure, stakeholder management, and decision-making when multiple teams compete for limited analyst capacity.
Silicon Valley BankTests product analytics thinking, metric selection, and clear dashboard design for SVB stakeholders.
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