Sql Business Intelligence Developer – In today’s fast-changing world, companies are generating more information than ever before. Data is the lifeblood that drives the growth and success of any business. From statistics about the effectiveness of sales and marketing campaigns to keeping track of all interactions with current or potential customers – all this information and more is collected and repeated daily.
All this data shows the past and present situation of the company. However, if conducted and analyzed properly, it can help reveal future trends and define effective business strategies for the future. And that’s where business intelligence (BI) comes in.
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Business intelligence transforms bits of complex, scattered information into comprehensible, easy-to-understand, and actionable insights. As a result, it helps companies make data-driven decisions and plan accordingly.
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With the growing trend of digitization, business intelligence tools have gained more popularity in recent years. According to the Statics MRC report, the global intelligence market is expected to reach $44.16 billion in 2027 from $21.06 billion in 2019, growing at a CAGR of 9.7% during the said period.
The increase in investment in analytics, the constant growth in the volumes of business data generated, and the growing need for data visualization create a huge demand for business intelligence applications and, as a result, BI developers.
This article takes an in-depth look at all the ins and outs of the intelligent software engineering profession. It also describes the roles, responsibilities, and skills required to become an experienced professional in the BI domain.
Business Intelligence (BI) is the description of technologies, processes, and software tools used to collect, process, analyze, and present business data. The primary purpose of business intelligence initiatives is to assist companies in making informed business decisions, improving efficiency, and gaining a competitive advantage over competing companies.
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As a rule, BI represents the perfect amalgam of analysis, reporting, and data management tools aimed at translating collected information into valuable business insights. This information can be used to improve business processes, speed up decision making, identify emerging market trends, weak areas in business processes, and increase sales.
It includes integrated storage and tools used for Extraction, Transformation, and Loading (ETL). Typically, data warehousing systems are created and maintained by database/ETL developers and data analysts.
All parts of the business intelligence report are the primary work of business intelligence software engineers. They build, maintain, and plan every aspect of the business intelligence interface.
As you probably now understand what business intelligence is, let’s take a closer look at the job description of developing business intelligence and see how it differs from the job of a BI analyst.
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A business intelligence (BI) developer is responsible for building, improving, and maintaining business intelligence tools, the primary goal of which is to transform data into valuable insight. This information can be further studied and used in making important business decisions.
Simply put, BI data engineers make data understandable and present in a way that allows easy interpretation of reports and graphs for people running organizations. These professionals deal with all aspects of the company. They are experienced developers with business sense and are good at bridging the gaps between systems and processes.
Because business intelligence experts provide data to stakeholders and develop BI software, they are expected to have an excellent understanding of coding, testing, troubleshooting, and designing new platforms.
In addition, experience with various databases and tools used for data measurement, data visualization, and interactive dashboards is also very important.
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Due to the rapid development of data science and the high power of data to drive business decisions, the demand for experts in the domain of BI is constantly growing. As a result, careers related to the development of business intelligence are highly rewarding and will remain among the most in-demand skills in the future.
In general, the salary of BI developers depends on their technical background, skills and experience. However, according to data presented by Glassdoor, the average base salary for a BI data engineer in the US is $103,581 per year, and $80,000 at the end of the list and $135, 000 at the high end. All this makes them one of the highest paid artists in the professional field.
As more and more organizations look for ways to get more value from their data, the range of business intelligence functions is expanding. BI analysts and BI developers are among the most in-demand positions, their duties and responsibilities overlap in other areas. Yet, in reality, these roles of business intelligence are very different.
A business intelligence analyst is someone who is responsible for analyzing data using information collected throughout the organization and stored in a centralized database or data warehouse. The primary goal of a BI analyst is to obtain business-focused, actionable information that will help make sound business decisions using BI tools.
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On the other hand, a business intelligence developer is essentially a tech-savvy software engineer responsible for creating, improving, and maintaining BI solutions. These solutions are then used by BI analysts to transform data into analytical views represented in easily digestible dashboards.
The role and responsibilities of a business intelligence developer will vary depending on the type and size of the business and the industry it is in. However, in most cases, the job includes the following activities:
The needs of a business intelligence solution will vary from business to business and company to company. BI data engineers determine the types of data to be analyzed, the reporting methods to be used, and the form of presentation of the result to end users.
When business needs are clearly defined, business intelligence engineers translate them into technical requirements that define the reporting capabilities and user-specific features of the future BI platform. At this point, BI professionals determine the type of data visualization and how end users will interact with it.
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BI professionals play a key role in the development of business intelligence platforms. They actively participate in doing the actual development of tasks, testing, and bug fixing in the pre-launch and post-launch phases.
Alternatively, senior professionals may take the positions of director of business intelligence and oversee the entire development process.
Data warehouses provide centralized storage of business information from various sources. Along with the ELT development team, business intelligence experts often participate in the development of data storage systems, although their structure does not affect data visualization.
Without well-written technical documentation, end users of a BI solution will not know how to use it properly. Therefore, BI developers are often responsible for writing user guides and documents that cover the most frequently asked questions of common users and the help of technical staff in solving common problems.
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As a rule, a BI software developer position requires a perfect blend of technical and business knowledge. From a technical perspective, these professionals should have strong coding skills and extensive knowledge of databases and data warehouses.
At the same time, in order to produce effective reporting systems, they must have strong business knowledge and a deep understanding of the specific business and business processes. Since each BI project requires different skills, we will outline the full range of skills that a potential candidate for a BI developer position may require.
It goes without saying that every intelligence software engineer must have a deep understanding of how to use and configure existing BI platforms and how to build custom products. Commonly used BI platforms include solutions such as QuickSight, Power BI, Apache Superset, and Hadoop.
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Additionally, an excellent BI data engineer can boast a deep understanding of data visualization libraries (D3.js, Matplotlib, and RGL), data formatting, database architecture, and data integration tools.
Building an effective BI interface is impossible without a solid understanding of databases, data models, and SQL/non-SQL queries. BI engineers use this information to create SQL queries and design BI reports and tools, including data modeling and dimensional analysis.
To properly define the needs of a business intelligence solution, a BI data engineer must be able to analyze business data accurately.
Problem solving and problem solving skills are an important part of any software development process, and designing business intelligence tools is no different. The main goal of business intelligence experts is to deliver a stable and bug-free solution that represents business data effectively.
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Therefore, the ability to find and fix issues quickly is very important for candidates in the BI domain.
In most cases, the position of a SQL BI developer assumes the need for constant communication with business customers, technical and operational staff. Therefore, candidates looking for a job in this field must have excellent communication skills, be able to
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