How to Become a Business Intelligence Analyst
If working as a business intelligence analyst sounds like something you might be interested in, you may be wondering how to become a business intelligence analyst in this competitive field. Fortunately, there are some basic steps and guidelines you can follow to begin pursuing a career in this industry.
Business Intelligence Analyst Education Requirements
At the very minimum, you will typically need a bachelor’s degree in business or a related field (such as data science or information technology) to qualify for even an entry-level position as a business intelligence analyst. Ideally, a candidate applying for a business intelligence analyst job at a higher level will have a graduate degree (such as a master’s degree) in business or a related field.
BI Analyst Certifications
In addition to an advanced degree, pursuing additional certifications and designations can be a great way to differentiate yourself and help you stand out in the field. There are many professional certifications to consider that can help you gain valuable skills that you can directly apply to your work as a business intelligence analyst. This includes becoming Microsoft Certified as a Power BI Data Analyst Associate or even a Certified Business Intelligence Professional through TDWI.
Take your time when exploring the various certifications available to you so that you can determine which one(s) may best apply to your career goals as well as ensuring that what a business intelligence analyst does applies to the sort of career you would like and enjoy.
Gaining Practical Experience Through Internships and Projects
One of the best ways to gain practical experience in the business intelligence field is to pursue internship opportunities or to collaborate with others involved in BI projects. This hands-on experience allows you to develop not only the skills needed to become a business intelligence analyst but also the intuition required in this dynamic field.
Business Intelligence Analyst Skills
In addition to a formal education and training, there are some essential skills that all aspiring business intelligence analysts should possess to do their jobs well. This includes both technical skills and soft skills that can be learned both in school and through hands-on experience.
Technical Skills: Database Tools and Coding Languages
Business intelligence analysts need to possess strong technical skills, including proficiency in the following areas:
- Data architecture
- Database design
- Data security
- Extract, Transform, Load (ETL)
- SQL
- Data visualization tools (including Tableau)
- Cloud computing technology
Data Visualization and Statistical Analysis Skills
Some people may wonder what a business intelligence analyst does for a company. However, one of the most important aspects of the job as a business intelligence analyst is being able to use data visualization and statistical analysis skills to make sense of very large sets of data. Different companies may require business intelligence analysts to work with different data visualization platforms and other software. That said, being proficient in these tools (and being quick to learn new software) will pay off greatly in this type of role.
Strong Financial and Business Acumen
In addition to highly technical skills, business intelligence analysts must also possess strong financial knowledge and business acumen. Understanding the basics of running a profitable and successful business can help business intelligence analysts make better recommendations to the companies they serve.
Soft Skills: Communication, Problem-Solving, and Critical Thinking
While it may seem like business analytics is heavily rooted in data science and technical skills, interpersonal skills still play a vital role in the BI field. In addition to having the skills and experience needed to collect and analyze business data, business intelligence professionals also must develop the soft skills needed to present that data to those who may not understand it. Communication, problem-solving, and critical thinking are essential soft skills that business intelligence professionals must focus on developing.
Career Outlook for Business Intelligence Analysts
If you are considering a path in business intelligence, it can be helpful to understand how this field is applied across industries and how it continues to evolve.
Where Business Intelligence Skills Are Used
Business intelligence analysts support data-informed decision-making in a wide range of settings. These may include:
- Private companies and corporations across industries
- Government agencies and public sector organizations
- Consulting firms and analytics-focused teams
In many cases, these roles involve collaborating with stakeholders to interpret data, identify trends, and communicate insights that can inform business strategies.
How the Field Is Evolving
The business intelligence field continues to change as new technologies and tools are introduced. For example:
- Artificial intelligence and machine learning are increasingly used to analyze large datasets and automate insights
- Data visualization tools are becoming more advanced and accessible
- Organizations are placing greater emphasis on data-driven decision-making across departments
As these trends develop, professionals in this field may benefit from building skills in data analysis, visualization, and emerging technologies.
What This Means for Prospective Students
Learning about these trends can help you better understand how a background in business intelligence may be applied in real-world settings. Exploring educational pathways can be a helpful next step in determining whether this field aligns with your interests and goals.
Salary Expectations for Business Intelligence Analysts
Salary expectations for business intelligence analysts may vary based on the organization and industry that the BI analyst works for.
Factors Influencing BI Analysts’ Salaries
Factors that may impact a business intelligence analyst’s salary include:
- The organization hiring a BI analyst.
- The industry that the organization is involved in.
- The amount of professional experience needed for the position.
- The educational qualifications and professional skills that the applicant has.
Navigating Your Career for Financial Growth
As you navigate your career path, you may want to focus on skill development through training, degrees, and certification programs, as well as professional experience. This may allow you to continue to explore new opportunities over time.
Is Business Intelligence a Good Career Path?
Still not sure whether a career in business intelligence is right for you? There are a few things to consider that might help you reach a decision about your future.
Aspects to Consider for Aspiring Business Intelligence Analysts
Business intelligence analysts work with large amounts of data on a regular basis, spending a lot of their time decoding and interpreting data to make recommendations for business growth. To find success and enjoyment in this line of work, dealing with data sets is something you will not only need to be good at, but you will also need to find it enjoyable.
Consider that this field is constantly growing and evolving, with new tools and technologies popping up around every corner. You will need to be committed to a lifetime of learning and professional development to find success in this dynamic field.
Common Challenges Faced by Business Intelligence Analysts
As data scientists who have to rely heavily on the data that they have available, business intelligence analysts could face unique challenges in their professional roles. Understanding the common challenges faced by business intelligence analysts could help you prepare in advance, allowing you to effectively navigate these issues when you are faced with them in a professional capacity.
Overcoming Data Quality Issues
Data quality issues are some of the most common challenges facing BI analysts today. Some of the most prevalent data quality issues include incomplete data, inconsistent data, outdated data, unstructured data, and invalid data. Business intelligence analysts could address quality issues by fully integrating data during analysis to ensure a comprehensive understanding. They should also use consistent, standardized collection methods to more easily identify any data quality problems.
Staying Ahead of Rapid Technological Changes
Rapidly advancing technology is sure to impact the data science industry, and business intelligence analysts today are aware that their professional landscape is rapidly evolving. The fact of the matter is that automated technology, including artificial intelligence and machine learning technology, is going to revolutionize the data science industry. While AI and machine learning are revolutionizing the data science industry, business intelligence analysts can focus on adapting to these technological advances rather than fearing job displacement. The role may evolve, but analysts who proactively become proficient in AI tools will likely find opportunities to leverage this technology in their current responsibilities. Rather, the scope of their job responsibilities is likely to change. Business intelligence analysts could stay ahead of these changes by proactively working to become proficient in the leading AI tools, allowing them to leverage this technology within their current roles.
What Are the Long-Term Prospects for a Business Intelligence Analyst?
Business intelligence analysts may go on to work long and rewarding careers for businesses, government agencies, and private consulting firms. Over time, they may also be eligible for leadership roles where they may be responsible for organizing teams and taking on more supervisory tasks.
Learn More About a Business Intelligence and Analytics Degree
Working as a business intelligence analyst can be a challenging yet rewarding job, especially for those who are not afraid to work with large amounts of data. If you already have an undergraduate degree in business or a related field, and you want to learn how to become a business intelligence analyst, then you may want to pursue a Master of Science in Business Intelligence and Analytics from Post University.
