314,552 interview questions from 6,000+ companies.
Define campaign success using business KPIs, funnel conversion, acquisition cost, and leading indicators tied to outcomes.
Tests communication of complex analytics to nontechnical stakeholders, with emphasis on influence, clarity, and driving action from insights.
Tests prioritization under pressure across stakeholders, with emphasis on trade-off judgment, influence, and clear communication.
Design a dashboard that connects campaign activity, funnel conversion, and acquisition efficiency to business outcomes.
Explain how INNER JOIN and LEFT JOIN differ, and when to use each for matched-only versus all-left-row analysis.
Tests adaptability under changing priorities, with emphasis on reprioritization, ambiguity management, and stakeholder communication.
Tests influence without authority through data-driven persuasion, stakeholder management, and clear communication under resistance.
Connect marketing KPIs to business outcomes using a clear hierarchy from spend and acquisition to conversion and ROI.
Approach for allocating a constrained marketing budget across channels and objectives using ROI, trade-offs, and prioritization.
Explain how SQL replaces Excel for trend analysis on 100,000+ rows using aggregation, date grouping, and filtering.
Explain how to detect and handle NULL values in SQL using filtering, COALESCE, CASE, and business-aware imputation.
Explain which visualization tools you use after SQL analysis and why, based on audience, speed, and dashboard needs.
Explain practical SQL techniques for handling NULLs and missing values in product analysis without biasing metrics.
Explain a practical SQL-first approach to analyzing a dataset, from profiling and validation to aggregation and communicating findings.
Join customers and transactions, filter to the previous quarter, aggregate spend, and return the top three customers by total spend.
Tests understanding of SQL join semantics and impact on PRA Group collections reporting accuracy.
Tests data quality handling and validation practices to ensure trustworthy outputs for PRA Group decisions.
Tests performance tuning skills for large-scale transaction datasets in PRA Group analytics.
Tests SQL skills for ranking and aggregating recovery performance across PRA Group portfolios.
Tests structured root-cause analysis using data to explain PRA Group recovery rate changes.
28 total questions
