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Top 5 Technical Skills to Add to Your Business Intelligence Resume

Business Intelligence (BI) consolidates business analytics, mining, visualization, data tools, and best practices to assist organizations with data-driven choices. It helps with an exhaustive perspective on information gathered and utilizes that information to drive change, dispense failures, and adjust to market or supply changes.

This arising need of utilizing information has brought Business Intelligence into the spotlight. Accordingly, making BI examiners’ professions profoundly rewarding.

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 BI Analyst resume  :

1. Data Mining

Data mining is dissecting huge arrangements of information to determine significant business insights. It refers to finding anomalies, patterns, and correlations in large sets of data.

Different methods can be employed to infer data to expand incomes, cut expenses, further develop client connections, and that’s just the beginning. The methods include tracking of patterns, classifying, associating, detecting outliers, clustering, regression, and prediction.

Breaking down enormous arrangements of data would require appropriate software.

Pro Tips: Apache Mahout, Dundas BI, Teradata are a set of powerful data mining instruments.

2. Database Tools

Data crunching will be a vital aspect of your day-to-day responsibilities. It refers to the initial steps required to prepare large volumes of data for raw data analysis. In this manner, knowing how to utilize information, for example, using Excel and SQL shall be fundamental to gaining expertise.

Yet, the journey to turn into the best BI Analyst out there doesn’t end at just learning about Excel and SQL. Having sound information on software that breakdown information and offers AI solutions has turned into a sought-after skill as well.

3. Statistical Analysis

Utilization of raw data followed by conversion provides an advanced statistical option for data processors and business analysts to make proactive decisions. It refers to collecting and scrutinizing data samples in a set from which samples can be drawn.

Statistical tools can be employed to derive tactical insights. For instance, mean, median, mode, and so forth are essential to infer results yet obscure. Having expertise in topics such as set theory, probability, discrete and continuous and bivariate distributions, random variables, etc. that are a part of advanced statistics is important for analysis.

Pro Tip: SAS, Hadoop, Spark, Hive, Pig, etc, assist organizations with understanding the insights better to make a sound BI system.

4. Data Visualization Tools

Data Visualization is the graphical portrayal of data and information. It converts raw information into graphical format.

Visual Data models are made via data visualization tools that abbreviate large chunks of data into components like diagrams, charts, and guides, data visualization tools give access to patterns, exceptions, and examples in information. Accordingly, they are extremely famous. Consequently, knowledge of tools like Power BI and Tableau turns out to be critical.

5. Coding Languages

Coding in Python, SQL, or R is routine for a BI Analyst. Coding helps to arrive at insights. BI analysts could be asked to build systems or processes to help monitor key aspects of a business.

You could start a career in BI without expertise in coding as well. You could learn it on the job. But knowing it well in advance would give you an edge.

Key takeaways:

Top technical skills for your BI Analyst Resume:

  • Data Mining refers to finding anomalies, patterns, and correlations in large sets of data
  • Expertise in database tools that prepare large volumes of data for raw data analysis
  • Statistical Analysis is utilizing raw data followed by conversion to employ advanced statistical tools for insights
  • Data Visualization tools help to visualize raw data in graphical format
  • Coding Languages are used by BI Analysts and learning them would give you an edge

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

Sonu Singh

Sonu Singh is an enthusiastic blogger & SEO expert at 4SEOHELP. He is digitally savvy and loves to learn new things about the world of digital technology. He loves challenges come in his way. He prefers to share useful information such as SEO, WordPress, Web Hosting, Affiliate Marketing etc. His provided knowledge helps the business people, developers, designers, and bloggers to stay ahead in the digital competition.

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