BI AnalystJob Description, Salary, Career Path, and Trends
Increasingly, the business world is becoming driven by data. Companies are using the data they collect to help anticipate trends, strategize, and become more efficient. They need professionals to help them interpret that data so they can make informed decisions. That’s where a business intelligence analyst comes in.
Business intelligence analysts take collected business data and turn them into usable information, so business leaders and stakeholders can use that data to make informed strategic decisions. A business intelligence analyst uses data to identify sources of lost revenue and inefficiencies, then shares that information with colleagues so they can create solutions.
In today’s data-driven world, business intelligence analysts must be skilled at programming, data modeling, and interpreting statistics, as well as communication and analytical thinking. It’s important for business intelligence analysts to toe the line between IT and a company’s core departments so they can properly communicate their findings to the rest of the organization.
Sample job description
Business intelligence (BI) analysts collect and use data to improve the business and increase profits by identifying areas of revenue loss and finding areas that need improvement. To be successful, BI analysts need excellent interpersonal skills, the ability to work as part of a team and independently, and strong problem solving and analytical skills. [Your Company Name] is hiring for an experienced BI analyst. If you have experience analyzing data to help improve business processes, you might be right for a role as a BI analyst.
Typical duties and responsibilities
Perform day-to-day management of and periodic reporting on the assigned areas of reporting
Assist in the development of enterprise-level data solutions
Develop business intelligence (BI) reporting from executive-level dashboards to supervisor-level targeted areas
Validate information contained in the reports developed and provide user introduction
Perform data audits of the enterprise data solution
Participate in and provide support for internal and external audits
Education and experience
A bachelor’s degree in finance, information technology, statistics or data analysis, as well as 2 to 3+ years of experience in the BI field are required for this position.
1+ years experience in SQL technologies like SSRS, SSIS, and SQL Server; 3+ years experience with Microsoft Office with emphasis on Excel and Access; as well as familiarity with one or more business intelligence tools such as Birst, Tableau or similar are strongly preferred.
Required skills and qualifications
Ability to create computer formulas, databases, models, and queries
Must be able to define problems, collect data, establish facts, and draw valid conclusions
Experience with ETL tools
Ability to write reports, business correspondence, and procedure manuals
Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public
A creative mindset to create functional but well-designed data visualizations within SSRS or Tableau
Strong background in SQL, T-SQL programming to be considered for this job
Any experience with Tableau or PowerBI
3-7+ years of demonstrated advanced proficiency in SQL, T-SQL development methodologies
Must possess effective verbal and written communication skills
Average salary and compensation
The average salary for a BI analyst is $97,500 in the United States. Position salary will vary based on experience, education, company size, industry, and market.
Los Angeles, California
Minneapolis-St. Paul, Minnesota
New York City, New York
Typical work environment
BI analysts typically work in office environments, where they spend much of their day sitting at a computer analyzing data. They also frequently communicate with managers and team members, attend progress meetings, and present findings and reports to clients and upper management. BI analysts usually work normal business hours between 9 AM and 5 PM, Monday through Friday. Some BI analysts may have the option to work remotely.
The typical work hours in an office setting for a business intelligence analyst are usually from 9 AM to 5 PM on weekdays.
Freelance workers are usually able to set their own workdays and hours.
BI analysts can be found in a variety of industries, and many institutions offer certifications to help them advance in their careers. Here are some certifications for BI analysts:
Certified Business Intelligence Professional (CBIP). Transforming Data With Intelligence (TDWI) offers the CBIP certification for senior-level IT professionals in data management and business analytics. The certification demonstrates your knowledge and skill in BI technologies, best practices, solutions, and emerging trends. To be eligible, you must have 2+ years of experience in computer information systems, systems analysis, or a related field. The certification is valid for 4 years and must be renewed every three years by completing 120 credit hours of continuing education.
Qlik Sense Business Analyst Certification. The Qlik Sense Business Analyst Certification is designed for those candidates who want to demonstrate their practical experience in developing applications in Qlik Sense. The exam assesses your ability to identify requirements, design applications, prepare and load data, and develop applications.
While pursuing a bachelor’s degree, students are encouraged to take courses in data architecture, database design, data mining, and data visualization. It’s also important to develop strong Excel and SQL skills before graduating. Many companies also like candidates to have real-world experience like an internship before graduation, so students have an understanding of the inner workings of a business.
Many business intelligence analysts begin their careers as data analysts, business analysts, or data report writers, so look for those positions if you’re just starting out in the field.
There are many certifications available for business intelligence analysts, including Microsoft’s Certified Solutions Expert in data management and analytics and TDWI’s Certified Business Intelligence Professional. There are also certifications available in specific computer languages like SAS.
US, Bureau of Labor Statistics’ job outlook
SOC Code: 15-2051.01
Projected Employment in 2030
Projected 2020-2030 Percentage Shift
Projected 2020-2030 Numeric Shift
Companies are increasingly interested in gaining in-depth data about their businesses and are turning to machine learning and artificial intelligence (AI) to help them anticipate trends and customer behaviors. Business intelligence analysts will need to find ways to work with that technology in the coming years.
In addition, users want to know that the data they are analyzing is statistically valid and reliable. As companies become more data-driven, they are also looking for IT professionals who can teach people in core departments and other stakeholders how to interpret and use data to help them do their jobs better.
A recent survey of business intelligence users, consultants, and vendors from the Business Application Research Center showed that managing data quality and master data is the most important trend in the business intelligence field in 2020. Data discovery and visualization, as well as establishing a data-driven culture within organizations, were tied for the second-most important.
Sample interview questions
How would you define the role of a business intelligence analyst?
Why is business intelligence important?
Where do you see yourself in 5 years?
What is the most significant BI project you have worked on?
Which BI tools do you have experience using?
What are the three components of a business intelligence system?
What is included on a business intelligence dashboard display?
What are your strengths? Your weaknesses?
What was the biggest technical challenge you faced in your career? How did you resolve it? What did you learn?
What data collection software do you use?
What are the differences between OLAP and OLTP?
Can you explain what SDLC and UAT are and how are they used?
Which data modeling software have you used? Which do you prefer?
Which technical skills are most important for a BI analyst?
What is Kano Model Analysis and why is it important?
What are the different parts of a SQL statement?
Which reporting tools are you familiar with?
What do you find the most challenging about being a business intelligence analyst?
How do you identify and keep up with market trends?
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