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Analytics and Dashboarding Questions

Designing, building, and enabling dashboards and spreadsheet based analysis to turn data into actionable insights for different stakeholder audiences. Candidates should be able to define and prioritize key performance indicators and metrics for roles such as sales, marketing, finance, and executives; apply dashboard design principles that present complex data clearly; and enable self service analytics through reusable data models, standardized metrics, documentation, and user training. Practical spreadsheet skills are included: advanced formulas, pivot tables, lookup functions, data cleaning, filtering, charting, sensitivity and what if analysis, and performance optimization. Candidates should also speak to tools and platforms used such as Excel, Google Sheets, business intelligence platforms, visualization tools, and analytics platforms; consider refresh cadence, data validation and governance, interactivity and drill down patterns, and trade offs between standardized reporting and bespoke custom views.

MediumTechnical
0 practiced
In Power BI using DAX, write a measure to compute Month-To-Date (MTD) revenue and a corresponding Year-Over-Year (YoY) percentage growth that compares MTD this year to MTD last year. Assume a properly configured Date table marked as a date table. Explain handling of partial current months and filtered contexts (e.g., product filters).
MediumTechnical
0 practiced
Explain visualization principles for communicating to executives versus analysts. Cover chart selection, color use, granularity, annotation, and interactivity. Describe how you would design the same underlying data for both audiences (one concise C-suite view and one exploratory analyst view).
EasyTechnical
0 practiced
Explain considerations for dashboard refresh cadence: compare real-time (sub-second to seconds), near-real-time (minutes), hourly, and daily refresh strategies. Discuss trade-offs in data freshness, cost, load on data systems, complexity of pipelines, and recommended cadences for executive finance dashboards versus operational KPI monitoring.
EasyTechnical
0 practiced
You have 24 hours to deliver a requested dashboard but the stakeholder's goals are vague and they may ask for many ad-hoc features. Explain your prioritization approach: what you deliver as an MVP, what you explicitly defer, how you communicate trade-offs, and how you plan follow-up iterations to expand functionality while maintaining trust.
EasyTechnical
0 practiced
When you detect outliers in business metrics, how would you present them to stakeholders so they inform decisions without overwhelming users? Discuss visualization options (boxplots, log scales, trimmed views), annotation strategies, and validation steps to determine if outliers are data quality issues or real business events.

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