3 Job Description for a Business Intelligence Software Engineer – Everything related to your company’s past and present status is recorded as bits of data. Marketing numbers, human resources, corporate budgeting, sales volumes — you name it. The number of business domains from which the data comes can be large. However, as a business, you may be interested in extracting value from this information rather than simply collecting it. Be thankful that there is software for everything.
Job description for Business intelligence (BI) is a set of techniques and methods for transforming business information into actionable reports and visualizations. Established in the early 80s and developed over time as a separate industry, BI gave birth to many roles and professions. We have already explained the role of an ETL developer. This material reveals the details of the underlying BI data infrastructure, so we suggest you read it to gain deeper insight into the topic.
Job Description for a Business Intelligence Software Engineer
Today we will discuss the role of a job description BI developer, their typical responsibilities, background and required skills. We will also define the difference between other standard roles involved in building BI systems and specific cases that require you to hire a BI developer.
1. Engineer Job Description
Job description of Business Intelligence developer is an engineer responsible for developing, deploying and maintaining BI interfaces. These include query tools, data visualization and interactive dashboards, ad hoc reporting and data modeling tools. But when we talk about business intelligence, we need to give a stricter explanation of this technical concept.
The whole BI system can be divided into its inner part and the actual user interface to interact with the data. Why is this division so important? Regardless of system complexity, a typical BI platform has three layers: a data source layer, a storage layer, and a reporting layer. Let’s break them down.
Is where the raw data is stored. It’s any of your databases, cloud storage, and separate files filled with unstructured data. Data sources are the starting points of all BI systems because they are connected to all the following data integration tools, repositories and Business Intelligence interfaces.
Includes all technology that facilitates the inventory process. These are both unified storage for all enterprise data and tools that perform extraction, transformation and loading (ETL). The data is moved to a single database for a few reasons.
2. What Is Business Intelligence (bi): Complete Implementation Workflow
So data source and inventory warehouse are considered as an underlying infrastructure of the job description BI system. Building and maintaining it is the responsibility of database/ETL developers and data analysts/engineers.
Is the last point of data. This layer is the actual BI interface that allows users to access data, pull it from a layer for analysis. Analytical capabilities may vary depending on the business requirements of a system. But in the most basic scenario, it’s SQL queries and simple data visualization tools.
Any software that makes up the reporting layer is the responsibility job description of a business intelligence developer. Within the framework of a business intelligence project, a BI developer takes responsibility for technology, management and strategic planning. So this person can be both project manager and/or executor.
Now that we’ve defined the place of a BI developer within the entire BI platform, let’s take a look at this person’s responsibilities.
3. One Simple Chart: Data Engineering Areas Of Focus
Project scope defines the degree of commitment to a particular role, as engineers with similar technology stacks and domain knowledge may be interchangeable. Developing BI interfaces requires deep experience in software development, databases and data analysis. So in part, data engineers who have a software development background and experience in BI can lead the interface development process.
However, Business Intelligence tools can contain very industry-specific functionality. BI developers are also aware of the peculiarities of the business domain: This allows them to understand business requirements, implement correct data models and solutions for data representation. So the responsibility of the BI developer is.
Business intelligence is always tied to the actual business domain and requirements of a specific organization for data analysis. This means that BI tools from company to company can be completely different. Let’s assume there are two projects.
In both cases, the end product will be a BI platform. But in the first case, it will require much more advanced options for data analysis, because there are simply more dimensions to analyze. The data itself may require image recognition, as it may be provided in any format such as X-ray, MRI or ultrasound.