Business Intelligence Task Summary – Business Intelligence (BI) analyst positions require a well-balanced mix of communication, analytical, problem-solving and IT skills. BI analysts help identify trends that help other departments and staff make business decisions to improve company processes.
On this page, we will help you structure your CV for this position with professional writing tips and examples.
Business Intelligence Task Summary
Prudent Business Intelligence Analyst with experience providing employers with valuable and actionable data to drive profit growth. Practice filtering information to find and highlight vital metrics and disclosure results. Nobody supports business growth by using intelligence assets to predict and discover optimal business strategies.
Pdf] Are Business Intelligence Systems Different To Decision Support Systems And Other Business Information Systems?
Create and customize your own resume for an analyst job using these employer-ready designs and our resume builder.
One of our most eye-catching designs, this template “connects the dots” with elegant graphics that punctuate each resume section. Colorful resume fonts help headings headings and job titles stand out.
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Training and certifications will help give you an edge over other candidates, so be sure to include them in your education section. Some of the more BI analyst-oriented courses you can take include:
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Your resume format should demonstrate that you have already achieved success as a business intelligence analyst, or have the know-how to succeed in this role. Includes technical skills such as Python and handling data visualization, as well as soft skills such as a high level of written and verbal communication; use these skills to describe yourself in your resume, and show how you apply them in your work history. List applications or tools in which you are experienced or certified, and give concrete examples of how you can transform analytical challenges into results.
4. How should you make your CV if you are looking to take the next step forward in your career?
If you are looking to pursue a role at a higher level such as data architect, data scientist or business intelligence project manager, work to add more technical skills to your repertoire and gain additional knowledge in the following areas through experience or specialized training: All about your Past and current status of your business is recorded as bits of data. Marketing numbers, human resources, corporate budgeting, sales volume – you name it. The number of business domains from which the data comes can be large. But as a business, you may be interested in extracting value from this information rather than just collecting it. Be thankful that there is software for everything.
Business Intelligence (BI) is a set of technologies and practices for transforming business information into actionable reports and visualizations. Established in the early 80s and developed over time as a separate industry, BI has given birth to many roles and professions. We have already explained the role of an ETL developer. This material explores the specifics of the underlying BI data infrastructure, so we suggest you read it to gain deeper insight on the topic.
Business Intelligence: A Complete Overview
Today we will discuss the role of a BI developer, their typical responsibilities, background, and required skills. We also define the difference between other standard roles involved in building BI systems and specific cases that require you to hire a BI developer.
A business intelligence developer is an engineer who is 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 as we talk about business intelligence, we need to give a more strict explanation of this technological concept.
The entire BI system can be divided into its inner part and the actual user interface for interacting with data. Why is this division so important? Regardless of the complexity of the system, a typical BI platform has 3 layers: a data source layer, a storage layer and a reporting layer. Let’s break them down:
Is where the raw data is stored. These are one of your databases, cloud storage, and separate files filled with unstructured data. Data sources are the starting points of any BI system because they are connected to all the following data integration tools, storage and business intelligence UI.
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Includes all technologies that facilitate the storage process. These are both unified storage for all company data and tools that perform extraction, transformation and loading (ETL). The data is moved to a single database for several reasons:
So, data source and storage layers are considered as the underlying infrastructure of the BI system. Build and maintain it is an area of responsibility for database/ETL developers and data analysts/engineers.
Is the last point for data. This layer is the actual BI interface that allows users to access data, pull it from a warehouse for analysis. Analytical capabilities may vary depending on business requirements for a system. But in the most basic scenario, these are SQL queries and simple data visualization tools.
Each piece of software that makes up the reporting layer is the responsibility of a business intelligence developer. As part of a business intelligence project, a BI developer takes on engineering, management and strategic planning responsibilities. So, this person can be both a project lead and/or an executor.
The Ultimate Guide To Successful Business Operations
As we have defined the place of a BI developer within the framework of the entire BI platform, let’s look at the responsibilities of this person.
The project scope defines the degree of involvement for a certain role, as engineers with similar technology stacks and domain knowledge may be interchangeable. Developing BI interfaces requires deep experience in software engineering, databases, and data analysis. So, in part, data engineers who have a software development background and experience with BI can lead the process of interface development.
However, business intelligence tools can include a lot of industry-specific functionality. BI developers are also aware of business domain specifics: this allows them to understand business requirements, implement proper data models, and data representation solutions. So, the responsibilities of the s BI developer are:
Business intelligence is always tied to the actual business domain and requirements of a specific organization for data analysis. That means from company to company BI tools can be very different. Let’s assume there are two projects:
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In both cases, the final 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 given in any format such as X-ray, MRI or ultrasound.
This is the difference in understanding the business requirements for the platform a BI developer should be aware of. Because they lead the number of reports, their forms and additional functionality.
After the business requirements are collected and documented, a number of data engineers / ETL / frontend developers are in charge of translating them into technical tasks. A BI developer in this case is responsible for articulating tasks that cover a user interface and reporting capabilities. To be more specific, a BI developer will describe whether a user interface needs to be an interactive dashboard with a drag & drop interface, or a set of fields filled with data properties, whether a system needs data visualizations and how a user will interact with them as well.
All these decisions are transformed into the actual tasks for the ETL development team, and the BI team (front- and back-end). The development stage can also be controlled by a project manager or a BI developer.
Data Warehouse & Business Intelligence Architecture Guide
As mentioned, a BI developer can perform a technical lead role in the development team, or can share the actual developer tasks. But a BI developer can make strategic decisions about the developed software and manage the entire process up to its deployment. Testing and debugging can also be a responsibility of a BI developer in the pre’/post-launch stages.
Reporting is a separate duty that does not concern the engineer so much, but rather working with databases and data models. With a BI interface, users make queries to the database to retrieve some information. Then this information is formatted into a visual form (e.g. pie chart) or a textual summary of the given properties.
While a user configures what to draw and how to format it, a software would be responsible for finding this information and recognizing the required data. This can be done with the help of data modeling – a structure through which the data is stored in the database.
Data models are defined and applied to the database by data analysts and ETL developers. But, a BI developer is the one who provides reporting requirements, so that will be a determining factor for a future model. These models represent objects in the database and relationships between them, so it will determine how data can be queried. And that is part of the competence of a BI developer.
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Logically, a BI developer will also control how the data is queried, whether it is valid, and how reporting works.
There are many approaches to building unified storage for all corporate information. We have discussed this approach in a special article on warehouses. While the architectural style of a data warehouse does not directly affect reporting, a BI developer can participate in the design process.
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