Top 5 Technical Skills to Add to Your Business Intelligence Resume

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You might have heard that ‘data’ is the new oil. Evidently, collecting relevant data has helped ‘Faang’ tech-giants to reach where they are.

But does collecting a vast amount of data serve the purpose?

Certainly, the answer is no!

This emerging need of leveraging data has brought Business Intelligence into the spotlight. While Gartner, Inc. forecasts that the business intelligence market will reach $22.8 billion by the end of 2020, the U.S. Bureau of Labor Statistics predicts that BI analysts’ demand will grow by 21 percent between 2014 and 2024. Thus, making BI analysts’ careers highly lucrative.

If you are looking for a BI Analyst role then you are in luck. Though exact job descriptions can vary  in a business intelligence analyst’s role, we have curated a list of five must-have technical skills that you can add to your Business Intelligence Analyst Resume :

1. Data Mining

Data mining is analyzing large sets of data to derive valuable business insights. Various techniques can be deployed to derive information to increase revenues, cut costs, improve customer relationships, reduce risks, and benefit the business.

Analyzing large sets of data would require suitable tools. Apache Mahout, Dundas BI, Teradata are some of the powerful data mining tools.

2. Database Tools

Data crunching will be a key part of your job. Thus, knowing how to manage data using common data tools such as Excel and SQL is an essential skill.

But the quest to become the best BI Analyst out there doesn’t end here. Another sought-after skill is having sound knowledge of tools that analyze data and offer machine learning solutions.

3. Statistical Analysis

Knowledge of statistical tools could be used to get a more detailed view of the data. For instance, knowledge of mean, median, mode, etc is important to derive results yet unknown. Having expertise in basic statistical tools thus is a must.

Even topics like set theory, probability, discrete and continuous and bivariate distributions, random variables, etc. that are a part of advanced statistics are important for analysis.

Analytical tools such as SAS, Hadoop, Spark, Hive, Pig, etc can help businesses to understand their metrics better in order to create a sound BI strategy. You must have these on your resume.

4. Data Visualization Tools

Data Visualization helps to understand underlying patterns or layers in the data. Visual Data models can be created using Data Visualization tools.

Data Visualization tools provide an interface, database connections, and machine learning tools all in one place. Thus, they are very popular.

Hence, knowledge of services like Power BI and Tableau becomes extremely important.

5. Coding Languages

Business Intelligence Analysts typically spend a lot of time coding in Python, SQL, or R languages. BI Analysts require coding for processing data to produce useful insights.

BI analysts could be asked to build systems or processes to help monitor key aspects of a business.

Key takeaways:

Top technical skills for your BI Analyst Resume:

  • Data Mining
  • Database Tools
  • Statistical Analysis
  • Data Visualization Tools
  • Coding Languages

Add these skills to your resume and get your dream BI Analyst job!

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