Here is Everything You Need to Know About Business Intelligence Engineer

The data-driven world is in dire need of business intelligent engineers

Business Intelligence Engineer

Average salary (Per annum): US$90207

Roles and Responsibilities: A business intelligence engineer is an engineer that's in charge of developing, deploying, and maintaining BI interfaces. Those include query tools, data visualization, and interactive dashboards, ad hoc reporting, and data modeling tool. To coordinate with customers and business analysts to determine business data reporting and analysis requirements, assist in business report generation to internal and external customers for business decision making. Support database administrators and developers to build data warehousing systems for business intelligence, reporting, and analytics.

Qualifications:

• Knowledge of SQL and PLSQL scripting languages.
• Graduation in engineering, computer science or other similar fields of study.
• Knowledge of programming languages like Python.
• In-depth understanding of business processes.
• Knowledge of budgeting and cost monitoring.
• Analytical and communication skills.
• Ability to collaborate with vendors, clients, and other analysts.
• ETL pipeline scheduling.

Top 3 Online Courses:

Advanced Management Programme in Business Analytics (ISB): The Advanced Management Programme in Business Analytics (AMPBA) at the Indian School of Business (ISB) is designed for business professionals and provides essential skills in business analytics and data science. The program schedule is designed to maximize learning, with minimum disruption to professional responsibilities.

Business Intelligence Concepts, Tools, and Application (Coursera): This is the fourth course in the data warehouse for business intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will gain the knowledge and skills for using data warehouses for business intelligence purposes and for working as a business intelligence developer. You'll have the opportunity to work with large data sets in a data warehouse environment and will learn the use of micro strategy's online analytical processing (OLAP) and Visualization capabilities to create visualizations and dashboards.

Business Analytics Specialization (Coursera): This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You'll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you'll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you'll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations.

Top Institutes Offering this Program:

• Masters in Data Science and Analytics: ESSEC – CentraleSuplec
• Fundamentals of Big Data: University IT – Stanford
• M.Sc. in Business Intelligence and Analytics: GISMA ULaw, Germany

Top Recruiters for This Job:

Apple: Apple's global business intelligence team is looking for an extraordinary business intelligence engineer for Apple's enterprise data warehouse, business intelligence, and analytics solutions. Apple's enterprise data warehouse and BI landscape caters to a wide variety of real-time, near-real-time, and batch analytical solutions.

Capital One: Capital One is a financial corporation bank that is an expert in credit cards, loans, banking, and savings accounts. The main task of the data storyteller here is to interpret data in a way that can inform organizational and business strategies. It can be understanding changes in consumer behavior and buying trends. So, it is a dire requirement of business intelligence engineers to process and analyze the data.

Deloitte: Deloitte is a leading provider of audit and assurance, consultancy, financial advisory, and tax services, etc. This information is stored in the form of data and so data storytellers are needed for the company to build a story that is informative and interpretive in the simplest of ways. It is important to decode the information in an understandable manner that can be possible with the help of data storytellers.

Capgemini: Capgemini is a consulting, technology services, and digital transformation company with data used for defining the end of the database, and then formulates the organizational data strategy, including standards of data quality, the flow of data within the organization, and security of the data.

Amazon: It is looking for a lead benefits business intelligence engineer who is excited about transforming HR processes and building customer-centric, sustainable, and scalable mechanisms for Amazon's global benefits administration team. The role is part of a new department within Amazon's employee services team in HR.