Business Intelligence Developer Job Description Pdf – Everything about your business’s past and current status is recorded in the data sheets. Sales numbers, human resources, company budgeting, sales volumes – you name it. The number of publicly available data can be large. But, as a business, it’s important to gather value from this information instead. Thank you for everything.
Business intelligence (BI) is a set of technologies and practices for transforming business information into actionable insights and visualizations. Founded in the early 80s and developed over time with unique energy, BI has spawned many roles and professions. We have already explained the parts of the ETL developer. This material reveals the specifics of the BI data infrastructure, so we recommend you read on to get a deeper insight into the subject.
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Today, we’ll discuss the role of a BI developer, and their typical duties, careers, and sought-after skills. We’ll also define the difference between other standards that go into building BI systems and the specific cases that require you to hire a BI developer.
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A business intelligence developer is an engineer who is responsible for developing, configuring, and maintaining BI interfaces. They include search tools, data visualization and interactive collisions, custom reports, and data modeling tools. However, when we talk about business intelligence, we need a more detailed explanation of this technological concept.
The entire BI system can be divided into its internal part and the actual interaction with mutual data. Why is this division so great? Due to system complexity, a typical BI platform has 3 layers: a data source layer, a warehouse layer, and a relational layer. Let us break them;
Where the raw data is stored. Those are your databases, cloud files, and separate files full of unformatted data. Data principles are the cornerstones of any BI system because they are connected to all tools, schedules and business intelligence following the data integration UI.
It includes all the technologies that make the process easier. These are both the one-stop shop for all corporate data and tools for extracting, transforming and loading (ETL). One database is moved for a few reasons;
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Therefore, the data source and warehouse layers are considered the underlying infrastructure of the BI system. Building and maintaining the field is the responsibility of database/ETL developers and analysts/engineers.
End point for data. This table is the actual BI interface that allows users to access data by pulling it from the analysis warehouse. Analytical capabilities may vary depending on the business requirements for the system. But in basic scenarios, those are SQL queries and simple data visualization tools.
Every piece of software that completes the customer relationship is dependent on the developer’s business intelligence. In the area of business intelligence, a BI developer undertakes engineering, management, and strategic planning services. This person can therefore be both a project lead and/or an executor.
As we have defined the position of the BI developer in the overall BI platform environment, look at the responsibilities of this person.
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Project scope defines the level of involvement of a particular task, as engineers with similar technology stacks and domain knowledge may be interchangeable. Developing BI interfaces requires deep experience in software engineering, databases and analysis. On the one hand, data engineers who have a software development background and experience with BI can lead the interface development process.
But business talent tools can include a lot of industry-specific functionality. BI developers are also aware of their own business areas: This allows them to understand business requirements, data models with their own tools, and data representation solutions. So, the responsibilities of the two companies are:
Business intelligence is always tied to the actual domain and the requirements of a specific organization for data analysis. That BI tool can be completely different from company to company. Let us take two initiatives:
In both cases, the final product will be a BI platform. But, in the first case, it will require much more advanced options for analysis analysis, as there are simply more dimensions to analyze. The information itself may require an image, as it may be given in any form such as an x-ray, MRI, or ultrasound.
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This is the difference in understanding the business requirements for the platform from a BI developer. Because they force a number of reporting capabilities, formats, and additional functions.
After the business requirements have been collected and documented, several engineering/ETL/front-end developers are responsible for translating the data into technical functions. A BI developer in this case is responsible for articulating tasks that cover user interface and reporting capabilities. To be more specific, a BI developer will describe whether the user interface has an interactive dashboard with a drag & drop interface, or a set of fields with data content properties, whether the system visualizes data and how the user needs it. they also correspond.
All those decisions in the tasks themselves will be converted to ETL development teams, and BI teams (front- and back-end). The development stage can also be controlled by a manager or BI developer.
As mentioned, a BI developer may lead a technical role within the development team, or may share active developer functions. But the BI developer can make strategic plans in the software development and deploy the entire process. Testing and debugging may also be the responsibility of the BI developer in the pre-launch stages.
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Reporting is a separate job that is not so much about engineering, but working with databases and data models. Using the BI interface, users will issue queries to capture some information. This information is then formatted into a visual form (say, a pie chart), or a textual summary of the given properties.
When the user is configuring what to draw and how to format it, the software would be responsible for finding this information and identifying the appropriate data. This can be done with the help of a data model — the structure through which data is stored in a database.
Data models are defined and applied to database analysts and ETL developers. But, the BI developer is the one who provides the required reports, which will be the determining factor of the future model. These models represent the objects in the database and the relationships between them, thus determining how the data can be accessed. And that is part of the competence of the BI developer.
Logically, a BI developer will also be able to control how the data is collected, if it is valid, and how the reporting works.
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There are several approaches to building a single repository for all corporate information. We discussed these aspects in the article dedicated to the store. While the data warehouse architecture method is not directly applicable, a BI developer can participate in the design process.
This is the same as the previous one. A BI developer can be involved in documenting the data structure of the warehouse and meta-data (additional information about the data). These documents will be used in the development process and to assist with making decisions about required reporting options.
Every system needs technical documentation. While a BI developer guides non-users through the platform and shows them how to use it, he is in charge of providing control documentation. These documents cover a range of uses for common users and technicians. staff, e.g. API Documentation, known technical issues, etc.
BI developer skills can vary depending on the project. In some cases, the BI developer may have minimal interaction with the engineering software and work as a SQL specialist to handle specific queries. But for the sake of a complete description, we will list all possible skills that are suitable for typical jobs.
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Using tools with BI. First of all, every BI developer must have experience developing BI products or configuring entities. In the case of building a custom BI product, knowledge of Python, scripting languages, and experience with data visualization libraries are a must. A solid understanding of all underlying infrastructure is also required: This includes an understanding of integration tools, ETL/ELT processes, data formats, and warehouse architecture.
If we are talking about a product that uses a BI solution from a vendor, then the BI developer must identify its corresponding technology. These depend on the vendor, but the most popular solutions related to data pipes, reporting and database operations are Amazon products (such as QuickSight), the Hadoop platform, or Apache technology (such as Apache Superset).
DB/DBA background. The main reason why a BI developer should experience dealing with databases is because the main subject of concern is SQL/noSQL queries. BI systems often require data management, data modeling, or data distribution across multiple databases.
BI developers may also be involved in designing and building tools for online analytical processing (OLAP cubes). This is an advanced option for multidimensional analysis that uses non-relational databases.
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