Business Intelligence Analyst

A Business Intelligence Analyst is an expert who translates business data into valuable insights, driving informed decision-making. They employ data mining, analytical processing, and visualization tools to analyze data, identify trends and patterns, and recommend business strategies.
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Business Intelligence Analyst

National (USA)
Base Salary
$86,372 / year
Additional Benefits
Bachelor's Degree

The average salary for Business Intelligence Analyst is $86,372 / year according to

There are no updated reports for Business Intelligence Analyst salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

Business Intelligence Analyst role may have an alternate title depending on the company. To find more information, you can check

Career Information

As a Business Intelligence Analyst, you will be responsible for analyzing and interpreting data to help organizations make informed decisions. This role requires strong analytical and problem-solving skills, as well as knowledge of business intelligence tools and techniques. You will need to be able to analyze complex data sets and communicate your findings to stakeholders.

The average salary for Business Intelligence Analyst is $86,372 / year according to
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The following text about the Job role of Business Intelligence Analyst has been generated by an AI model developed by Cohere. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.

Business intelligence analysts are responsible for analyzing data and developing reports and dashboards to help businesses make informed decisions. They work with a variety of data sources, including databases, spreadsheets, and unstructured data, to gather, organize, and analyze information.

Business intelligence analysts must have strong analytical skills and the ability to think critically. They must be able to collect, organize, and analyze data, and to communicate their findings in a clear and concise manner.

Other important skills for business intelligence analysts include:

  • The ability to work with a variety of data sources, including databases, spreadsheets, and unstructured data
  • The ability to use data visualization tools, such as dashboards and charts, to communicate findings
  • The ability to write clear and concise reports
  • The ability to work with a team and to collaborate with others
  • The ability to keep up with new technologies and trends in the field

Some of the tasks that a business intelligence analyst may be responsible for include:

  • Collecting, organizing, and analyzing data
  • Developing reports and dashboards using data visualization tools
  • Communicating findings to stakeholders in a clear and concise manner
  • Collaborating with a team to develop business intelligence solutions
  • Staying up-to-date on new technologies and trends in the field

Overall, business intelligence analysts play a crucial role in helping businesses make informed decisions by analyzing data and developing reports and dashboards. They must have strong analytical skills and the ability to communicate effectively in order to be successful in this role.

Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Certification Programs
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.

AWS Certified Data Analytics — Specialty


The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.

View More

Microsoft Certified: Azure Enterprise Data Analyst Associate


The Azure Data Analyst Certification is a high-ROI program designed for professionals who have expertise in designing, creating, and deploying enterprise-scale data analytics solutions.

View More

AWS Certified Machine Learning — Specialty Certification


The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud. 

View More

Google Certified Professional Machine Learning Engineer

The Google Machine Learning Certification is a high-ROI program designed for ML engineers who want to gain specialized machine learning skills using Google Cloud technologies.

View More
Specialty Courses improving
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.

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Resource Stacks

We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.

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