How to Be Business Intelligence Analyst II - Job Description, Skills, and Interview Questions

Jun 24, 2020 / 6 Minutes Read / By Albert

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The rise in data availability has had a major effect on businesses, as it has enabled them to make more informed decisions. Business Intelligence Analysts have become increasingly essential to organizations, as they are responsible for leveraging data to provide insights and make recommendations to leadership. As a result, the demand for Business Intelligence Analysts has significantly increased, with the need for higher-level analysts such as Business Intelligence Analyst IIs becoming increasingly prominent.

Business Intelligence Analyst IIs are expected to have a deep understanding of data analysis concepts and the ability to develop complex algorithms and interpret results. They must also be able to collaborate effectively with stakeholders and possess strong communication and problem-solving skills. With the increased demand for Business Intelligence Analysts, many organizations are now investing in upskilling their existing staff or recruiting experienced professionals to fill these roles.

Steps How to Become

Obtain an undergraduate degree in a related field. Many employers prefer applicants to have at least a bachelors degree in computer science, information systems, business administration, or a related field.
Gain experience in the field. Business intelligence analysts often have to have several years of experience working with data management and analytics software. Consider applying for internships or entry-level positions to gain the necessary experience.
Pursue certifications. It is beneficial to get certified in data management and analytics software. Many employers require their analysts to be certified.
Develop your knowledge and skills. Take courses or attend workshops to learn more about data analysis, data mining, and predictive analytics.
Develop technical skills. Business intelligence analysts must have strong technical skills, so its important to familiarize yourself with programming languages, SQL databases, and other data-related tools.
Apply for a Business Intelligence Analyst II position. Once you have the necessary experience and certifications, you can begin applying for Business Intelligence Analyst II positions. Be sure to highlight your experience and skills on your resume and cover letter.
Participate in training programs. Once youve been hired, you may be required to participate in on-the-job training or other job-related activities to develop your skills further.

A successful Business Intelligence Analyst II must have a comprehensive understanding of the data analytics process and be competent in the use of multiple software programs. This role requires an individual with strong problem-solving skills and the ability to think critically and quickly. In order to be reliable, they must be capable of gathering, analyzing, and interpreting data in order to interpret trends and patterns in order to make informed decisions.

They must also be detail-oriented and organized in order to ensure accuracy and efficiency when extracting and processing data. a successful Business Intelligence Analyst II must be able to effectively communicate the results of their analysis in a meaningful way to their team and stakeholders. Proper communication is essential for ensuring that the insights and data are easily understandable and actionable.

You may want to check Business Analyst Consultant, Business Process Engineer, and Business Relationship Manager for alternative.

Job Description

Develop and maintain data models for business intelligence tools.
Design and create data visualizations, dashboards, and reports to support business operations and decision making.
Analyze large datasets to identify trends and insights.
Develop and maintain data warehouses and other data management systems.
Collaborate with stakeholders to understand data needs and develop solutions.
Interpret data and provide recommendations for actionable insights.
Monitor changes in the competitive landscape and industry trends.
Develop and maintain KPIs and metrics that are used to measure performance.
Assist with the development of predictive analytics models and forecasting.
Prepare technical documents, user manuals, and training materials related to BI projects.

Skills and Competencies to Have

Expertise in data analysis, modeling, and reporting
Knowledge of SQL, data warehousing, and ETL (Extract, Transform, Load)
Working knowledge of data visualization tools (e. g. Tableau, Power BI)
Familiarity with business intelligence concepts and frameworks
Ability to interpret and analyze complex data sets
Strong problem solving and critical thinking skills
Excellent written and verbal communication skills
Proactive and self-motivated
Ability to work in a fast-paced environment
Attention to detail and accuracy

Business intelligence analysts are responsible for collecting, analyzing, and interpreting data to identify trends and provide insights that help inform strategic decisions. The ability to effectively interpret and analyze data is a critical skill for any business intelligence analyst. A successful analyst must have the ability to identify patterns and relationships in data, develop hypotheses, and test them against the data.

They must also be able to interpret the results of their analysis and present their findings in a meaningful and easy-to-understand way. Other important skills for a business intelligence analyst include strong communication and presentation skills, as well as the ability to work with both technical and non-technical stakeholders. By mastering these skills, a business intelligence analyst II can help organizations make informed decisions that will ultimately lead to positive outcomes.

Business Operations Manager, Business Process Automation Engineer, and Business Systems Administrator are related jobs you may like.

Frequent Interview Questions

What experience do you have in developing and implementing Business Intelligence solutions?
What experience do you have in designing, developing and maintaining data warehouses, data marts and other data stores?
How do you stay up to date with the latest trends and technologies in Business Intelligence?
What challenges have you faced in the past when working on Business Intelligence projects?
Describe a successful project that you have led or been part of for a Business Intelligence solution.
What techniques do you use to ensure accuracy and integrity of data when working with Business Intelligence solutions?
How do you prioritize tasks when faced with multiple assignments and deadlines?
What strategies do you use to ensure that your Business Intelligence solutions are meeting customer requirements?
Explain how you used data mining and predictive analytics to uncover actionable insights from large data sets.
Describe the process you use to develop dashboards, reports and other Business Intelligence outputs.

Common Tools in Industry

Tableau. A data visualization and business intelligence platform used to create interactive visualizations and reports from data sets. (Example: Tableau can be used to create interactive dashboards that display customer purchase patterns).
Microsoft Power BI. A business intelligence tool that helps users turn data into actionable insights. (Example: Power BI can be used to analyze customer data and identify trends).
SAP BusinessObjects. An enterprise-level business intelligence solution that helps organizations measure, analyze, and report on performance. (Example: SAP BusinessObjects can be used to create interactive dashboards that help organizations track key performance indicators).
Microsoft Excel. A spreadsheet software used to organize, analyze, and visualize data. (Example: Excel can be used to create pivot tables and charts to identify trends in customer data).
QlikView. Business intelligence software used to create interactive dashboards and visualizations from large datasets. (Example: QlikView can be used to compare customer purchase patterns across different locations).

Professional Organizations to Know

Association for Computing Machinery (ACM)
American Statistical Association (ASA)
Institute of Management Accountants (IMA)
International Institute of Business Analysis (IIBA)
International Association of Business Analysts (IABA)
International Institute of Business Process Management (IIBPM)
International Society of Business Analysts (ISBA)
Society for Industrial and Applied Mathematics (SIAM)
DAMA International (Data Management Association)
Data Warehouse Institute (DWI)

We also have Business Process Manager, Business Intelligence Data Scientist, and Business Applications Manager jobs reports.

Common Important Terms

Data Warehousing. A data warehouse is a system used for reporting and data analysis, and is considered a core component of business intelligence. It stores current and historical data in one single place that can be easily accessed, managed, and analyzed.
Data Mining. Data mining is the process of discovering patterns in large datasets involving methods at the intersection of machine learning, statistics, and database systems.
ETL (Extract, Transform, Load). ETL is a process used to extract data from multiple sources, transform it into a consistent format, and load it into a destination system, such as a data warehouse.
SQL (Structured Query Language). SQL is a special-purpose programming language used to manage data stored in relational databases. It is used to query, modify and delete data.
OLAP (Online Analytical Processing). OLAP is a technology used for data analysis and allows users to quickly analyze large amounts of data from multiple perspectives.
Dashboard. A dashboard is an interactive tool used to visualize data and track key performance indicators (KPIs). It is typically used by executives, managers, and other stakeholders to gain insights into their business.

Frequently Asked Questions

What qualifications are required to become a Business Intelligence Analyst II?

Becoming a Business Intelligence Analyst II typically requires a minimum of a Bachelor's degree in a related field such as computer science, information technology or data science, as well as experience working with data analysis and business intelligence tools.

What are the primary responsibilities of a Business Intelligence Analyst II?

Primary responsibilities of a Business Intelligence Analyst II involve developing data models and visualizations to help businesses make informed decisions, analyzing data from multiple sources, creating reports and presentations of findings, and managing end-user access to databases and data sets.

What type of salary can a Business Intelligence Analyst II expect to earn?

According to PayScale, the average salary for a Business Intelligence Analyst II is $72,971 per year.

What kind of problem-solving skills are needed for the role of a Business Intelligence Analyst II?

Problem-solving skills necessary for the role of a Business Intelligence Analyst II include the ability to identify patterns in data and draw conclusions from them, the ability to think critically and analytically, an aptitude for problem-solving, and the ability to troubleshoot technical issues.

What type of technical experience is needed for the role of Business Intelligence Analyst II?

Technical experience necessary for the role of a Business Intelligence Analyst II typically includes experience working with data analysis and business intelligence tools such as SQL, Tableau, Power BI, and Excel. Knowledge of statistical analysis techniques and familiarity with data mining processes are also beneficial.

Web Resources

Business Intelligence Analyst II - jobs.jhu.edu jobs.jhu.edu
Business Intelligence Analyst II #2024 at Myriad Genetics, Inc. ieor.berkeley.edu
How to Become a Business Intelligence Analyst [BI Salary/Career Guide] onlinedegrees.sandiego.edu