Bank of America Behavioral Interview for Data Analyst (Engineering) — Responsible Growth, Risk, and Stakeholder Impact

This 60-minute behavioral interview evaluates how a Data Analyst aligns with Bank of America’s Responsible Growth strategy and risk-first culture. Expect STAR/CAR-style deep dives with follow-up probes focused on: 1) Managing risk well: handling sensitive data (PII), data lineage, quality controls, reconciliation and validation practices, audit-ready documentation, and appropriate escalation when controls fail. 2) Stakeholder management in a matrixed enterprise: partnering with lines of business (e.g., Consumer Banking, Global Banking/Markets, GWIM), Risk/Compliance, and Technology; balancing competing priorities and negotiating scope under regulatory or quarter-end timelines. 3) Client and business impact: translating analysis into outcomes for customers and the enterprise; defining success metrics; driving adoption of dashboards/reports; ensuring reproducibility and trust in metrics. 4) Communication and storytelling: tailoring messages for non-technical executives, writing clear issue summaries/root-cause analyses, and giving concise status updates. 5) Ownership and execution: prioritization under tight deadlines, navigating ambiguity, raising concerns early, and following through with post-incident learnings and process improvements. 6) Culture and inclusion: collaboration, mentorship, and creating a respectful environment consistent with the firm’s values. Interviewers typically ask for one or two projects where you faced compliance or data-quality risk, how you engaged control partners, and the steps you took to prevent recurrence. Come prepared with measurable outcomes, trade-offs you made, the risks you identified, and how you documented decisions.