How to Become a Business Intelligence Analyst in 2020



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How to Become a Business Intelligence Analyst in 2020? Our free step by step guide will walk you through how to start a career in data science: to find out or watch this video, in which we’ll talk about becoming the BFF of business performance- the Business Intelligence Analyst!

More specifically, we’ll look at who the BI analyst is, what they do, and how much zeroes are tacked on the end of their salary. Finally, we’ll discuss what skills and academic background will help you become one.

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So, who is the BI analyst and what makes them so special?

BI analysts are fierce business performance ninjas who possess a blend of business vision, consultant abilities and profound understanding of data. They join forces with senior management to shape and develop a data strategy. Analysis of Key Performance Indicators (KPIs), accurate overview of business performance and identifying areas that need improvement are also specialties in the BI analyst’s domain.

And what exactly do BI analysts do?

Well, they focus primarily on analyses and reporting of past historical data. Once the relevant data is in the hands of the BI Analyst (that’s… monthly revenue, customer, sales volume, etc.), they must quantify the observations, calculate KPIs, and examine the measures to extract insights.

Of course, the most important aspect of a BI analyst’s job is to continually improve their company’s competitive positioning. Therefore, they examine their competitors, data trends, seasonality, and other random effects to quickly identify issues and best practices.
On top of that, they create killer graphs and dashboards to review major decisions and measure effectiveness. So, in a word, if you want to have an impact on the business world, become a BI analyst.

Well, maybe that’s easier said than done. But let’s see how much a BI analyst makes per year, maybe that’ll have some inspirational effect on you…

Enjoy watching!

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29 thoughts on “How to Become a Business Intelligence Analyst in 2020”

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  2. Learning coding is not as difficult as many think. Coming from mathematics background, I had little programming skills. In 3 months after my grad (2017), I taught myself Excel (considering learning functions: sumifs, if, vlookup/index,so much more). Then I landed my first job as production analyst in a manufacturing industry untill Covid19 broke out and get laid off (now looking for a job). 3 years later, I am very comfortable with ; PYTHON, R , SQL and Excel (advanced)

    As I am looking for a job, I am learning from edx , udemy and udicity. My focus is Data science related courses. Every related video I see in YouTube, I cant resist not watching it. I hope one day I land a job as Data scientists.

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  3. I tried enrolling to the course using this link in the description but the payment is not being processed, the 47% off thing is'nt working I feel, can the team please get back to me on aabaig14@gmail.com

    thanks in advance

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  4. These UK salaries look way off. £29-30K is closer to what you'll get at entry level (in London anyway) not after 1-4 years experience. Why upload a video without doing some research first?

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  5. if you want to be a business analyst, which programming language should you first learn ? (I am new to any language)
    I googled this question, HTML , R , SQL, Python showed up. A bit overwhelmed, what should be my first step?

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  6. I just got hired by a large multinational company as a BI Specialist 2 months after graduating college making around 70k. My Bachelors degree was in Information Technology with a specialization in Data Science and a Minor in Business Analytics. Most of my classes either involved databases (SQL), data analytics and visualization (Python, Excel), BI stuff (ETL, data migration, Tableau), and a lot of statistics classes. My first internship in college was as a Data Analyst at a large Automotive Parts company where I built sales dashboards using various platforms like Tableau and Power BI. My second internship was at a government health organization where I developed ad hoc reports mostly just using SQL and Python. In my interview for my current job I had to solve several SQL problems on a whiteboard. This is a great field to go into. I would recommend becoming a master at SQL and learning as much as you can about business data infrastructure and ETL processes.

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  7. Hi, that was really great, detailed and concise. Thanks
    I'm a university student, with some data science experience but I have a lot of drawbacks in the soft skill, especially writing and communication skill. Any advice on how to improve?

    Reply

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