Business Intelligence Developer Certainly Income – If you answered yes to the above, then becoming a business intelligence analyst may be the new career you are looking for.
Business intelligence is best described as the process of collecting and analyzing data to understand what is going on and making intelligent business decisions based on that analysis.
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They take raw data and turn it into actionable information that helps companies make better business decisions (eg increase revenue, reduce costs, downsize, etc.).
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Lotteon is Korea’s leading online retailer, with 13 million customers a year and 10 million visitors a day!
Their data told them they had a lot of cart abandonment (people adding things to their cart but never completing the purchase).
They took this basic information and started looking at the customer experience. From self-analysis and customer feedback, they found that their checkout process was too long and there was some confusion around delivery windows.
A strategy was developed to correct these things, improvements were made, and Lotteon achieved an additional $10 million in sales in the first 12 months of implementing this solution.
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Isn’t it beautiful? As a BI analyst, you’re basically the Benoît Blanc of business, and that’s pretty cool.
How Much Does a Business Intelligence Analyst Make? Well, according to ZipRecruiter, the average salary for a BI analyst in the US is now over $87,000 per year.
I even found a posting for $190,000 per year if you have 3 years of experience as a BI analyst in SaaS companies!
This meant that BI was mainly adopted first by tech companies, because they saw the value of understanding data at scale.
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They have the best toys and tools, which means BI analysts often get hands-on experience with the latest technology, such as:
Editor’s Note: I have a friend who works in BI for Sony and got a free Playstation PS5 about 16 months before the public. Does this mean you need a technical background to work in BI?
Sure, it doesn’t hurt if you have some programming experience, but thanks to the wide range of skills required on BI teams, that means people with a business or operations background are more than welcome in business intelligence.
Even better, regardless of your skill level, you’ll find plenty of practice opportunities once you get there, so if you want to learn to code, you can.
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Fun fact? BI teams and the professionals who work within them are highly valued by senior leadership, meaning funding for training is usually plentiful.
As the BI role covers technical, analytical and soft skills, it means you’ll gain skills across several highly valued areas of the tech world.
Of all the skills you develop, the greatest thing is the dizzying array of career paths that open up because of them. (That’s a good thing!)
If so, starting out as a business intelligence analyst could be the perfect stepping stone to a role as a business intelligence engineer.
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These engineers focus on building and optimizing the technical processes that underpin business intelligence workflows. This includes data extraction, transformation and standardization.
As you have experience using these systems, it’s a fairly easy transition into a data engineering role as long as you take some time to learn and understand the technology required (and your company will pay, as I mentioned earlier).
If analyzing data is your thing, business intelligence can be a great leap into a career in data science and predictive analytics.
Most data scientists will tell you that they spend 80% of their time cleaning and transforming data, which is what you’ve been doing as an analyst, so it’s another easy transition.
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Alternatively, you can take the soft skills you’ve acquired and move in a non-technical direction, such as a project manager or IT business analyst (ie someone who works with both technical and non-technical teams).
This is a very underrated role. Most people in tech are good with code and technology or good with people, but those who can bridge the gap get paid well for it.
The last reason (but certainly but not least) I give you is the peace of mind that BI skills aren’t going away anytime soon.
In fact, you could say they’re recession-proof. Through the use of BI, companies can become more efficient and drive higher revenues, lower costs, and ultimately make better decisions.
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Being able to not only understand data but also draw insights from it is essential to a company’s survival, which means they want and need you in good times and bad.
Add that BI analysts develop business domain knowledge (ie, deep, specific knowledge of the business operations they support), and all of this adds up to making them more difficult to replace than core value employees who know certain technologies that aren’t specific to a company.
Oh and an added bonus? Job demand and opportunities for BI analysts are increasing, so it’s clear that this is a great career to pursue.
In fact, as of this writing, there are over 85,000 BI analyst positions in the US alone.
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Well, first you need to get the right skills. Then you have to practice using those skills. Then it’s just like hiring any other role.
If that sounds daunting, you can follow a step-by-step path from zero experience to being hired as a BI analyst.
Sure, you can learn BI with Python and other tools, but believe it or not, you can start learning what you need for this role right away with zero programming experience.
All you need to learn is Microsoft Excel (it’s more powerful than helping you with your budget and taxes 😉).
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In fact, Excel is often the preferred tool to use, especially if you know how to use it.
It’s the glue that holds the business world together, and I can assure you that every company (no matter how big or small) uses Excel at every level.
If the business world were a restaurant and business was tables inside, Excel would be the salt and pepper on every table.
Pick up a few tricks and suddenly not only is the time to get your tasks done faster and easier, you can often automate it.
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Some companies may have access to more exotic business intelligence tools like Tableau, but regardless of your role, you almost always have Microsoft Excel installed on your work computer.
This means you can work with it immediately without IT or management approval. Even if your machine dies, you can grab any other laptop and immediately open Excel on it.
In fact, the last reason you should start with Excel is because it already has an industrial-strength suite of business intelligence tools built in, and you just didn’t know it!
What’s really important is that these features are based on the same underlying technology as what you’ll find in Power BI, Microsoft’s flagship business intelligence software.
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But it’s easy to get lost and distracted and waste a lot of time learning things that aren’t really useful.
Throughout the course, you’ll use real datasets and real-world use cases to guide you through applying these technologies at work, and you’ll have plenty of opportunities to practice what you’ve learned with hands-on exercises and projects.
You will learn all the business intelligence features of Excel by building an end-to-end BI solution for a fictional surf shop.
Along the way, I’ll show you how to build an automated ETL (Extract, Transform and Load) process to get external data, use the DAX language to create dozens of powerful KPIs, and turn it all into beautiful, dynamic visualizations.
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You don’t need to learn to code. You don’t need paid tools anymore. You need to sit down and work. simple!
So don’t wait to start your career as a business intelligence analyst. Instead, open Excel, grab some data, and create a business intelligence solution that will impress your boss.
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Become a business intelligence data professional with Excel. You’ll learn to master the power tools in Excel, including Power Query, Power Pivot Tables, Data Modeling, the DAX formula language, and more.
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