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About this lesson
Learn about the role of the Business Analyst and how Excel is used to drive business decisions.
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Quick reference
How Excel is used by Business Analysts
Learn how Excel is used by Business Analysts.
When to use
This video is useful if you want to learn about how Excel is used by Business Analysts in real-world scenarios.
Instructions
Excel is an essential skill for any aspiring Business Analyst. A large part of the role is knowing how to deep dive into unruly datasets, make sense of them, and present key findings to colleagues, managers, and stakeholders so they can make better business decisions.
It's a key role when it comes to the success of the business.
Not all business analysts are intentional BAs. Data is such a huge part of everyone's lives these days, most of us will probably have to analyze data at some point in our careers.
Business Analysis in the Real World
Global Megastore Example
Maybe you are a Business Analyst who's been asked to extract meaning from a large amount of sales data for a global megastore.
He needs the data to answer questions that are important to the stakeholders.
- What are the yearly trends?
- Which months are most profitable?
- What are the top-selling products?
- Which products are not performing well?
- Which sales channel is most popular?
Excel can help us answer all of these questions.
Employee Demographics Example
The HR team has asked the Business Analyst to take a deep dive into their demographic data to help them with hiring decisions moving forward.
They would like the data to answer the following questions?
- How many employees are there?
- What's the split between male and female employees?
- How many contractors are there compared to full-time staff?
- What are the age demographics across the company?
- How many sick days has each staff member taken?
Finding answers to these questions can show gaps and policy issues. For example, maybe the company is hiring too many men in a certain role. Maybe the company is unknowingly discriminating against candidates over a certain age.
Presenting Results
Once we've analyzed the data it is important to know how to present the results effectively. What charts should we use to communicate the point clearly? What formulas do we need to extract the relevant information? Do we want to create an engaging dashboard? What colors should we use?
We need to think about all of this when we need to present key metrics.
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