Spreadsheet Analysis and Modeling Questions

Hands on skills for analyzing, modeling, and reporting data using spreadsheet software and lightweight tabular tools. Candidates should demonstrate data organization and cleaning techniques, proficiency with formulas and functions for calculations and conditional logic, and use of lookup and aggregation methods. Expect fluency with pivot tables for summarization and segmentation, charting and other visualizations, and building simple dashboards and reports. Important skills include correct use of absolute and relative references, efficient spreadsheet layout for accuracy and collaboration, conditional formatting, and strategies for working with large datasets. Candidates may also be expected to perform basic statistical measures such as averages medians and distribution checks, compute growth and conversion metrics, and automate repetitive tasks using built in scripting or macro features. Interviewers frequently assess the ability to derive actionable insights from tabular data quickly and accurately, often under time constraints.