Data Analyst Excel test practice

Practise Data Analyst Excel tests with 20 scenarios and 100 tasks covering data cleaning, KPIs, segmentation, trends, lookups and data quality checks.

Also for: Junior data analyst, Reporting analyst, Data analysis assistant, Excel data analyst

Prepare for Data Analyst Excel tests with practical datasets and clear analytical questions. Summarize sales, compare segments, calculate business metrics, clean records and investigate data quality problems.

The scenarios use fictional records and explicitly defined metrics. Enter formulas that reference the supplied workbook data. Exercises focus on spreadsheet analysis and validation, with advanced tasks covering weighted averages, retention, forecast errors and reconciliation.

What the tests cover

  • Summarize sales, traffic, surveys and campaign spending
  • Calculate conversion rates, growth, margins and average order values
  • Clean labels and extract structured text fields
  • Build segmented summaries and analyze daily trends
  • Look up product attributes and audit duplicate identifiers
  • Evaluate retention, forecast errors and dashboard discrepancies

Excel skills you’ll use

SUMSUMIFMAXAVERAGECOUNTIFMINCOUNTROUNDIFTRIMLEFTMIDRIGHTLENSUMIFSCOUNTIFSSUMPRODUCTINDEXMATCHIFERRORABS

Available tasks

100 tasks in 20 workplace scenarios: 30 beginner, 40 intermediate, 30 advanced.

Questions

What do these Data Analyst Excel tests include?

Twenty scenarios with five tasks each: six beginner, eight intermediate and six advanced scenarios.

Do these exercises require SQL or Python?

No. These tests focus on spreadsheet formulas using the supplied workbooks. They do not assess SQL, Python, dashboard design or statistical inference.

How should I enter rates and percentages?

Follow the task wording. When a decimal fraction is requested, enter a formula returning a value such as 0.25 for 25 percent, with the specified rounding.

Can I use another valid formula?

Use a formula that references the workbook data and produces the requested answer. Example formulas show one possible method.

Are the datasets real?

No. All organizations and records are fictional practice content.

Practice tasks in the style of common data analyst tests, on fictional data. Not any employer’s real test.