We may earn an affiliate commission when you visit our partners.

Business Intelligence Manager

Save
April 11, 2024 4 minute read

Business Intelligence Manager

Job Overview

A Business Intelligence Manager is a professional who is responsible for gathering, analyzing, and interpreting data to help businesses make better decisions. They work with a variety of stakeholders, including business leaders, IT professionals, and data analysts, to identify and address business needs. Business Intelligence Managers use a variety of tools and techniques to collect and analyze data, including data mining, statistical analysis, and machine learning. They also develop and implement data visualization tools to help stakeholders understand and use data.

Skills and Knowledge

Business Intelligence Managers need a strong understanding of business principles, data analysis techniques, and data visualization tools. They also need to be able to communicate effectively with stakeholders at all levels of the organization. Some of the key skills and knowledge required for this role include:

  • Data analysis and mining
  • Statistical analysis
  • Machine learning
  • Data visualization
  • Business intelligence tools
  • Communication
  • Problem solving
  • Critical thinking

Career Path

The path to becoming a Business Intelligence Manager typically involves a combination of education, training, and experience. Many Business Intelligence Managers have a bachelor's or master's degree in a field such as business, computer science, or statistics. They may also have experience in a related field such as data analysis or IT. Many Business Intelligence Managers start their careers as data analysts or business analysts and then move up into management roles.

Career Growth

Business Intelligence Managers have the opportunity to advance their careers in a number of ways. They may move into more senior management roles, such as Director of Business Intelligence or Chief Data Officer. They may also move into other areas of the business, such as marketing, finance, or operations.

Transferable Skills

The skills and knowledge that Business Intelligence Managers develop can be transferred to a variety of other careers. For example, they may move into roles in data science, data engineering, or IT management. They may also move into consulting or other roles that require strong analytical and communication skills.

Day-to-Day Responsibilities

The day-to-day responsibilities of a Business Intelligence Manager vary depending on the size and structure of the organization. Some of the typical responsibilities include:

  • Gathering and analyzing data
  • Developing and implementing data visualization tools
  • Communicating insights to stakeholders
  • Working with business leaders to identify and address business needs
  • Managing a team of data analysts

Challenges

Business Intelligence Managers face a number of challenges, including:

  • The need to keep up with the latest data analysis techniques and tools
  • The need to communicate complex technical information to non-technical stakeholders
  • The need to make decisions based on incomplete or imperfect data
  • The need to balance the needs of different stakeholders

Projects

Business Intelligence Managers may work on a variety of projects, including:

  • Developing a data warehouse
  • Implementing a business intelligence dashboard
  • Conducting a market research study
  • Developing a predictive model
  • Automating data analysis processes

Personal Growth Opportunities

Business Intelligence Managers have the opportunity to grow in a number of ways, including:

  • Developing their technical skills
  • Improving their communication skills
  • Gaining a deeper understanding of the business
  • Taking on leadership roles
  • Mentoring other professionals

Personality Traits and Personal Interests

People who are successful in this career typically have the following personality traits and personal interests:

  • Strong analytical skills
  • Excellent communication skills
  • A deep understanding of the business
  • A passion for data
  • A desire to make a difference

Self-Guided Projects

There are a number of self-guided projects that students can complete to better prepare themselves for this role, including:

  • Taking online courses on data analysis, data mining, and data visualization
  • Working on personal data analysis projects
  • Volunteering for organizations that use data to make decisions
  • Reading books and articles about data analysis and business intelligence
  • Attending industry conferences and events

Online Courses

Online courses can be a great way to learn the skills and knowledge needed for this career. Online courses offer a flexible and affordable way to learn at your own pace. There are many different online courses available on data analysis, data mining, and data visualization. Some of the most popular platforms include Coursera, edX, and Udemy.

Online courses can help you learn the skills and knowledge needed for this career. Through lecture videos, projects, assignments, quizzes, exams, discussions, and interactive labs, online courses can help you better prepare for this career.

Online courses alone are not enough to follow a path to this career. They can be a helpful learning tool to bolster the chances of success for entering this career.

Share

Help others find this career page by sharing it with your friends and followers:

Salaries for Business Intelligence Manager

City
Median
New York
$166,000
San Francisco
$144,000
Seattle
$153,000
See all salaries
City
Median
New York
$166,000
San Francisco
$144,000
Seattle
$153,000
Austin
$171,000
Toronto
$135,000
London
£100,000
Paris
€67,000
Berlin
€108,000
Tel Aviv
₪803,000
Singapore
S$130,000
Beijing
¥605,000
Shanghai
¥334,000
Shenzhen
¥225,000
Bengalaru
₹1,690,000
Delhi
₹1,256,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Reading list

We haven't picked any books for this reading list yet.
This is widely considered the foundational text on dimensional modeling. It provides a comprehensive guide to designing, developing, and deploying dimensional data warehouses and business intelligence systems. Essential for gaining a broad understanding and must-read for anyone entering the field.
This set includes the three core Kimball Toolkit books, offering a comprehensive library of his foundational work on dimensional modeling, the data warehouse lifecycle, and ETL. Owning this set provides access to the most authoritative guides in the field and must-have for serious practitioners. These are considered classics and must-reads.
Is considered a foundational text in Business Intelligence, particularly for its in-depth coverage of dimensional modeling, a core concept in data warehousing. It provides practical techniques and best practices that are essential for anyone involved in building BI systems. While not the most recent publication, its principles remain highly relevant and it is often used as a reference.
Another essential book from the Kimball Group, this toolkit provides practical techniques for the entire data warehouse and Business Intelligence system development lifecycle. It complements 'The Data Warehouse Toolkit' by focusing on the process of building these systems.
This guidebook offers a comprehensive overview of the Business Intelligence lifecycle, from data integration to analytics. It provides clear explanations of architectural design and processes, making it valuable for gaining a broad understanding of the field. It useful reference for navigating the complexities of BI projects and includes practical solutions.
Provides a comprehensive overview of the field of business intelligence, covering the key concepts, technologies, and applications. It is an excellent resource for both students and practitioners who want to learn more about how to use data to make better decisions.
Building upon the modeling concepts from the Toolkit, this book details the entire data warehouse project lifecycle. It's invaluable for understanding the practical steps involved in implementing a dimensional model from requirements gathering to deployment and maintenance. useful reference tool for project planning.
This influential book highlights how organizations can gain a competitive advantage by leveraging analytics. It provides a strategic perspective on Business Intelligence and the importance of becoming a data-driven organization. It's a valuable read for business leaders and strategists.
Focusing specifically on the Extract, Transform, Load (ETL) process, this book provides essential techniques for populating a dimensional data warehouse. It's a critical companion to the primary Toolkit book for anyone involved in the data integration aspects of dimensional modeling. useful reference for ETL developers.
Focuses on the strategic aspects of Business Intelligence and how to ensure its success within an organization. It delves into best practices used by successful companies and covers topics from aligning BI strategy with business goals to selecting the right applications. It valuable resource for understanding the business impact of BI.
For those working with Microsoft BI tools like Power BI, SSAS, and Excel, a strong understanding of DAX is essential. is considered a definitive guide to the DAX language, providing in-depth knowledge for creating powerful calculations and data models.
Comprehensive guide to the entire Business Intelligence project lifecycle, from planning to deployment. It provides a structured approach to implementing BI solutions and emphasizes understanding business needs and ensuring data quality. It valuable resource for project managers and those involved in BI implementation.
Provides real-world examples of how companies are using big data and analytics to achieve success. It showcases Business Intelligence in action across various industries, offering practical insights and inspiration. It's valuable for understanding the practical applications of BI.
Addresses the importance of having a sound data strategy in the age of big data and IoT. It helps readers understand how to leverage data, analytics, and Business Intelligence to drive profitability and gain a competitive edge.
Offers a deep dive into the design and implementation of star schemas, a core component of dimensional modeling. It covers various design patterns and addresses common challenges. It's an excellent resource for those looking to deepen their understanding beyond the basics presented in introductory texts.
This comprehensive guide to Business Objects Mobile provides detailed instructions on how to use the software to access reports and dashboards on mobile devices, making it an essential resource for anyone looking to stay informed and make decisions on the go.
While focusing on data science, this book is highly relevant to Business Intelligence as it explains how to use data mining and analytical thinking to solve business problems. It provides a solid foundation in the principles and concepts behind extracting value from data, which core component of BI.
A recent publication focusing on building analytical data models using SQL and dbt, a popular tool in modern data stacks. is highly relevant for understanding contemporary practices in creating and managing dimensional-like models in cloud-based data warehouses. It dives into contemporary topics and tools.
This practical guide to creating effective Business Objects dashboards covers everything from design principles to best practices for data visualization, making it a valuable resource for anyone looking to create more insightful and engaging dashboards.
This practical guide to developing with Business Objects Data Services provides detailed explanations of the software's architecture and features, making it an essential resource for anyone looking to develop more efficient and scalable data integration solutions.
Predictive analytics is an advanced area within Business Intelligence. explores how predictive analytics works and its applications in various business scenarios. It's suitable for those looking to deepen their understanding of advanced BI techniques.
Effective data visualization crucial aspect of Business Intelligence. focuses on the principles of designing insightful and effective dashboards for communicating data clearly and accurately. It's a valuable resource for anyone involved in presenting BI findings.
Tableau widely used BI and data visualization tool. focuses on mastering Tableau for implementing advanced BI techniques, analytics, and even machine learning models. It's a practical guide for those looking to become proficient in using a popular BI platform.
Table of Contents
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser