Standards and Governance Questions

Evaluate the candidate ability to define, establish, and communicate standards and best practices that raise quality and consistency across teams. This includes creating standards for data quality, engineering practices, code review, security hygiene, testing, and documentation, as well as processes for adoption, enforcement, and continuous improvement. Candidates should discuss stakeholder engagement strategies, change management to shift culture without formal authority, mechanisms for measuring compliance and impact, and examples of standards they introduced or improved and the organizational outcomes.

MediumTechnical

0 practiced

Explain how you would implement role-based access controls (RBAC) for datasets and dashboards to enable self-service while protecting sensitive data. Provide sample roles (e.g., analyst, product manager, auditor) and an example of least-privilege rules for each.

HardTechnical

0 practiced

Design a cross-team KPI that measures "time to trust" for a new data product: the elapsed time from product release to the first time a stakeholder makes a business decision based on it. Describe instrumentation (events, surveys, logs), how to derive the KPI, and levers to reduce it.

MediumTechnical

0 practiced

Design a compliance dashboard in Tableau or Power BI that shows adherence to data quality SLAs across datasets. Specify which KPIs, visualizations (e.g., heatmaps, time series), filters, and drill-downs you'd include and why each is useful for owners and executives.

MediumSystem Design

0 practiced

Design a lightweight, practical data quality framework for daily ETL pipelines that covers completeness, uniqueness, and distributional checks. Describe the components (checks, orchestration, alerting, dashboards), tooling choices (e.g., SQL, dbt, Airflow, monitoring), and how to prioritize checks to minimize operational overhead.

EasyTechnical

0 practiced

As an analyst, list three quick validation checks you run before accepting a KPI on a dashboard as correct (e.g., comparing to previous period, checking null rates). For each check describe a concrete SQL or spreadsheet operation to perform it.

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