Data and Business Outcomes Questions

This topic focuses on converting data analysis and insights into actionable business decisions and measurable outcomes. Candidates should demonstrate the ability to translate trends into business implications, choose appropriate key performance indicators, design and interpret experiments, perform cohort or funnel analysis, reason about causality and data quality, and build dashboards or reports that inform stakeholders. Emphasis should be on storytelling with data, framing recommendations in terms of business levers such as revenue, retention, acquisition cost, and operational efficiency, and explaining instrumentation and measurement approaches that make impact measurable.

EasyTechnical

0 practiced

Write a SQL query (standard SQL / BigQuery or PostgreSQL) to compute Monthly Active Users (MAU) from an events table. Schema: events(event_id, user_id, event_name, occurred_at TIMESTAMP). Return rows: month (YYYY-MM), mau_count. Include timezone handling and sample output for 2024-01 and 2024-02.

MediumTechnical

0 practiced

A critical dashboard query with several joins and window functions takes minutes to run. List concrete steps you would take to diagnose and optimize it (indexes/partitions, rewrite queries, materialized views, pre-aggregations). Provide an example of a query rewrite that reduces computation.

HardTechnical

0 practiced

The product team wants to use multi-armed bandits (MAB) with adaptive allocation to maximize conversions across variants. Evaluate whether MAB is appropriate vs fixed A/B for this use case. Discuss statistical guarantees, bias/variance trade-offs, and how to instrument to measure long-term effects.

EasyTechnical

0 practiced

You are handed a new reporting dataset. Describe a checklist and concrete SQL checks you would run to validate data quality before using it in dashboards. Include checks for completeness, accuracy, freshness, and stability.

EasyBehavioral

0 practiced

Behavioral: Tell me about a time when an insight you delivered changed a business decision. Describe the context, what analysis you ran, how you presented results, the decision that followed, and the measurable outcome. Use STAR (Situation, Task, Action, Result).

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