General Technical Tool Proficiency Questions
Familiarity and practical experience with technical productivity and analysis tools such as SQL, Python or R, data visualization platforms like Tableau and Power BI, Excel, and statistical or analytical software. Candidates should be able to describe depth of expertise, typical use cases, examples of real world applications, automation or scripting practices, and how they select tools for different problems. This topic includes discussing reproducible workflows, data preparation and cleaning, visualization best practices, and integration of tools into cross functional projects.
HardSystem Design
0 practiced
Design an end-to-end reproducible analytics workflow for a team that needs: reproducible notebooks, tested SQL models, versioned data transformations, and automated deployments to production dashboards. Include components (git, CI, dbt, Airflow, containerization, package management), how environments (dev/stage/prod) are isolated, and how you ensure reproducibility of results.
MediumTechnical
0 practiced
Design a set of automated data quality checks for a nightly ETL feeding finance reports. Include SQL-based checks for duplicate keys, nulls in required fields, distribution shifts (outliers), referential integrity, and freshness. Describe how you'd surface failures to Slack/email and prioritize alerts.
HardSystem Design
0 practiced
Design two dashboards for the same product: one for executives (high-level KPIs, trend summaries) and one for operational staff (detailed tables, drill-downs, row-level actions). Explain differences in data model, refresh cadence, filters, KPIs, navigation, access control, and how you'd govern changes to each dashboard type.
HardTechnical
0 practiced
You are given a slow analytic SQL query that uses multiple window functions and joins across large tables (50M+ rows). Show how you would rewrite or refactor the query to improve performance (e.g., pre-aggregate, materialized tables, reduce partitions, avoid repeated window work). Provide an example rewrite and justify choices.
EasyTechnical
0 practiced
Given a table events(user_id, event_date TIMESTAMP, revenue DECIMAL), write a SQL query using window functions to compute cumulative revenue per user ordered by event_date. Also show how you'd reset the cumulative total monthly (i.e., cumulative revenue per user per calendar month). Use ANSI SQL and show sample output columns.
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