Business Intelligence and Analytics Career Test

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Most people think of data as something that belongs to computer scientists or mathematicians, but in the business world, the ability to understand and use data is one of the most in-demand skills across every industry. Data analytics and business intelligence sit right at the heart of how modern organizations make decisions. You could be helping a retailer figure out why sales dropped last month, building a dashboard that shows a company’s performance in real time, or predicting what customers are likely to buy next season. The tools change constantly, but the core skill of turning raw numbers into useful answers, never goes out of demand.
In under 5 minutes, find out which corner of the data world fits the way you think.

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Disclaimer: Before you start the test, please consider the following: the test results are provided to you for the purpose of discovering your interests, your likes and dislikes and contemplating on what you may want to do in the future. Our tests are not psychological tests, nor do they indicate that you excel in a certain field of interest. Our tests do not amount to professional career advice. Our terms of use contain a disclaimer.

1
Use data to spot trends in customer satisfaction scores.
2
Show data findings visually so any audience understands.
3
Forecast future business outcomes using data models.
4
Read business data and explain what the patterns mean.
5
Find trends in business data by comparing time periods.
6
Simplify a complex data set into one clear visual page.
7
Set up live data feeds so reports refresh automatically.
8
Decide which numbers go on a business performance report.
9
Shape data findings into a story that guides decisions.
10
Test business ideas using statistical methods and data.
11
Present what business data analysis reveals to a team.
12
Design charts and visuals that make complex data clear.
13
Control who can access and change a company's data.
14
Measure how well marketing campaigns perform using data.
15
Set rules for how business data is collected and stored.
16
Run statistics to find what drives a business outcome.
17
Adapt reporting tools as the needs of a business change.
18
Build dashboards showing live business performance data.
19
Analyze customer data to understand buying behavior.
20
Train teams on the correct way to enter business data.
21
Group customers by shared habits to improve targeting.
22
Audit business data to catch errors that could mislead.
23
Investigate why a business metric has dropped or spiked.
24
Assess how trustworthy a statistical business result is.
Please answer all highlighted questions.

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