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

Business Intelligent Analyst

Average salary (Per annum): US$84,670

Roles and responsibilities: Business intelligence (BI) analysts transform data into insights that drive business value. Through the use of data analytics, data visualization, and data modeling techniques and technologies, BI analysts can identify trends that can help other departments, managers and executives make business decisions to modernize and improve processes in the organization.

The BI analyst role is becoming increasingly important as organizations move to capitalize on the volumes of data they collect. BI analysts typically discover areas of revenue loss and identify where improvements can be made to save the company money or increase profits.

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 Business Analytics for data science (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. It provides the opportunity to work with large data sets in a data warehouse environment and will learn the use of MicroStrategy's Online Analytical Processing (OLAP) and Visualization capabilities to create visualizations and dashboards.

Statistical thinking for data science and analytics (edx): This course will build a statistical foundation, statistical thinking in designing data collection, derive insights from visualizing data, obtaining and supporting evidence for data-based decisions from visualizing data models to breakdown business analysis.

Fundamentals for data science and business analysis (Udemy): The course makes you understand the fundamentals to makes data-driven decisions, carry-outs regression analysis, make you familiar with data science with Python and R, perform hypothesis testing, and gives a view of underlying dummy variables.

Top Institutes Offering this Program:

• MS in Data Analytics: Imperial College London
• Master's in Business Analytics: University of California, San Diego
• Master's in Business Analytics: University of Geneva

Top Recruiters for This Job:

Apple: Apple is an American multinational technology company that is an expert in consumer electronics, computer software, and online services. Business Intelligence Analysts help large data sets in a data warehouse environment and will learn the use of MicroStrategy's Online Analytical Processing (OLAP) and Visualization capabilities to create visualizations and dashboards.

Deloitte: Deloitte is a leading provider of audit and assurance, consultancy, financial advisory, and tax services. This information is stored in the form of data and so Business Intelligence Analysts are needed for the company to build complex computer database systems that are accessible, useful, and secure for a better understanding of the businesses.

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.

MuSigma: It helps their clients to systematize better decision making through their new 'Art of Problem Solving'. They call their solution 'service as software, which is a step up from the SaaS (software as a service) solutions. Hence, they are in need of a Business Intelligence Analyst to help organizations with scaling data analytics solutions from problem definition and mapping to analytical solution discovery and operationalization.

Bank of America: It is an American multinational bank that relies on huge amounts of Business Intelligence Analysts for building complex computer database systems that are accessible, useful, and secure the processes of the bank and its data by understanding the business need and exploring the existing data structure.