
Randstad Data Analyst (Engineering) Case Interview — Workforce Analytics for RPO/MSP and Staffing
This case simulates a day-in-the-life problem Randstad NA data analysts tackle within our tech-and-touch, Human Forward culture. You’ll analyze a multi-source staffing dataset (ATS + VMS extracts and recruiter activity logs) to diagnose performance issues and recommend client-facing insights. What you’ll work on: - Data quality and integration: Reconcile candidate, requisition, and timesheet tables with inconsistent IDs and missing values; flag PII handling steps aligned to GDPR/CCPA and EEOC reporting needs. - Core talent KPIs: Calculate and interpret time-to-fill, submittal-to-hire, fill rate, candidate NPS proxy metrics, recruiter productivity, and SLA attainment for RPO/MSP programs and branch staffing. - Root-cause analysis: Explain a recent spike in time-to-fill for critical skill roles across two regions; quantify drivers (funnel conversion, req aging, rate competitiveness, screening bottlenecks, background check turnaround). - Forecasting and scenario testing: Build a simple demand/supply projection for the next quarter (seasonality + client volume ramps) and test scenarios (e.g., increased pay rate, expanded sourcing channels, streamlined interview steps). - Equity and compliance lens: Show how you’d monitor representation and adverse impact at key funnel stages, and outline how to report responsibly without overexposing sensitive attributes. - Visualization and storytelling: Sketch a one-page Power BI/Tableau view for a client QBR, highlighting trends, anomalies, and 2–3 operational actions for Delivery/Program Managers. - Stakeholder communication: Present a concise, non-technical summary tailored to a Randstad Program Manager and a client Hiring Leader; be ready to answer trade-off and feasibility questions. Format and tools (you choose): SQL or Python for analysis; slides or a whiteboard-ready dashboard outline for presentation. The interview is structured but conversational—expect prompts that mirror Randstad’s client-first style (clarifying scope, pushing for practical, measurable actions, and demonstrating ethical data use). The bar is on business impact: clear reasoning, clean calculations, bias-aware insights, and pragmatic recommendations that help recruiters, program teams, and clients act this month, not next year.
8 minutes
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About This Interview
Interview Type
PRODUCT SENSE
Difficulty Level
3/5
Interview Tips
• Research the company thoroughly
• Practice common questions
• Prepare your STAR method responses
• Dress appropriately for the role