Business Intelligence Jobs – Gartner defines big data as “high-volume, rapid, and/or diverse information resources that require cost-effective, innovative forms of processing that enable improved insights, decision-making, and process automation.” The development of big data brought business intelligence to the forefront as it was recognized as the primary means of using big data in a way that could facilitate data-driven decision making. The above quote from Thomas H. Davenport is not only an indication of the growing importance of big data, but also indirectly points to the future prospects of a business intelligence career. Every company’s entry into the data business will significantly increase the importance of business intelligence jobs.
In this blog we take a look at the potential prospects of business intelligence jobs. We will try to understand the business intelligence career path as well as the different BI job roles.
Business Intelligence Jobs
Business intelligence is the technological innovation that encompasses the means and methods that business organizations use to analyze business-related data. This data is generated at every step of business operations, including observing industry trends, tracking sales and inventory, collecting demographic information, etc. This data can be in structured or unstructured form. The idea behind a business intelligence job description is to help identify and create new opportunities for the company by interpreting this data.
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Business intelligence skills can be understood as the skills for reporting, data analysis, benchmarking, data mining, online analytical processing, prescriptive analytics, text mining, predictive analytics, etc. Therefore, business intelligence jobs require delving into the past, understanding the present, and making predictions for the future of business operations.
If you’re at the point where you’re weighing the pros and cons of a business intelligence career, you may be wondering whether a career in BI is even worth it. In this section, we’ll take a look at some of the key benefits that come with business intelligence jobs.
This is an important concern for every career aspirant. You want to be satisfied with a job that can, among other things, guarantee you a feeling of security. Business intelligence jobs are considered secure precisely because they are in immense demand. A business intelligence developer, a business intelligence consultant, a business intelligence analyst, etc. are considered crucial links between business thinking and technological understanding. Additionally, the need for these personnel has skyrocketed as companies become increasingly data-driven.
A business intelligence career is not only in demand, but also exciting, dynamic and offers enormous opportunities for personal development. Faced with daily challenges, BI employees are expected to continually develop. For example, a business intelligence developer is expected to be able to analyze and understand the needs of stakeholders and software users. Now this need is not static and they will not be able to respond to their needs if they do not keep themselves updated with the latest technology.
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One of the biggest benefits of business intelligence jobs is the opportunity to pursue a BI career with a variety of job prospects. Additionally, you can start your business intelligence career at a junior or entry-level level and, after a certain year of experience, advance to higher positions where you can lead your own team and projects. At the same time, business intelligence jobs are not limited to a single industry and as a BI aspirant, you may be in demand in multiple industries including manufacturing, education, sports, banking and so on.
There is no one-size-fits-all path to a business intelligence career and you can start your journey at different points. If you are a student, you have the advantage of choosing your major. If you ultimately want a job in business intelligence, you may choose to pursue degrees in areas such as management information systems, business-related degrees, or any branch of computer science.
If you’re about to graduate with a degree that’s unrelated to the fields mentioned above, that doesn’t mean you’re not qualified to become a business intelligence professional. You can choose the second career path, namely acquiring work experience. You can apply for an internship where you will gain knowledge of DSS software, or you can work as a data visualization or data scientist intern to gain basic hands-on experience.
Finally, if you are someone who is already working, you have the advantage of having experience on your side. You can carefully analyze a business intelligence job description and accordingly acquire skills that will help you land business intelligence jobs. For example, you might aim to gain technical knowledge of different types of software, such as Structured Query Language (SQL).
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It’s important to remember that different business intelligence jobs may emphasize different types of roles and skills. A back-end role might be more technically oriented, such as a business intelligence developer. while a front-end role might focus on data usage, presentations and reporting. Depending on the job description, you may be looking to acquire relevant business intelligence skills.
In this section, we take a look at some of the most prominent careers in business intelligence.
A BI analyst is someone tasked with examining large amounts of relevant data to derive actionable insights that could drive data-driven decision making. Therefore, these are BI employees who need a comprehensive understanding of production systems, departmental databases, data warehouses and the intricacies of business processes. You have an understanding of building BI tools, an intrinsic understanding of SQL and are proficient in data visualization and cloud computing. It is estimated that the annual average salary of a business intelligence analyst is between $70,000 and $80,000.
For a more detailed understanding of the job title of a BI analyst, see our Business Intelligence Analyst blog.
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A business intelligence consultant is expected to apply their expertise in designing, developing and implementing BI systems and tools. They help companies learn new ways to manage their data and provide robust solutions to achieve business goals, evaluate performance, and assist in creating budgets, schedules, forecasts, and reports. A business intelligence consultant should have skills in understanding and manipulating statistics and data and have extensive knowledge of data visualization tools.
The position of a business intelligence developer is essentially a technical one, as they are responsible for creating, improving, and generating BI solutions that ultimately help transform data into valuable insights. You will be involved in developing ETL to facilitate data integration, deriving extracts from SQL servers, and managing database applications. A business intelligence developer must have problem-solving skills, an analytical mindset, and knowledge of data mining and data warehousing. It is estimated that the annual average salary of a business intelligence developer is between $75,000 and $85,000.
The role of a BI engineer is quite extensive as it is a business intelligence job description where the person is expected to work closely with developers and analysts. Therefore, a Business Intelligence Engineer is expected to have the skills of a Business Intelligence Analyst and a Business Intelligence Developer. You are responsible for optimizing BI processes, for the strategic implementation of BI tools and for managing projects.
You will be responsible for the design and implementation of BI systems and software, as well as integration with data warehouses and databases. You will monitor the performance and execution of BI projects and work with operations engineers, business owners, and app developers to oversee the production of BI designs. It is estimated that the annual average salary of a business intelligence manager is between $100,000 and $110,000. Data analytics is the process of analyzing raw data to produce meaningful insights – insights that are used to make intelligent business decisions.
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