A Business Intelligence Manager oversees the development and implementation of business intelligence initiatives, managing teams and resources to deliver actionable insights and drive business growth.
Potential Lateral Jobs
Business Intelligence Manager
$77,252 / year
The average salary for Business Intelligence Manager is $77,252 / year according to Indeed.com
There are no updated reports for Business Intelligence Manager salaries. You can check potential lateral job opportunities in this information stack to find related salary information.
Business Intelligence Manager role may have an alternate title depending on the company. To find more information, you can check Indeed.com.
As a Business Intelligence Manager, you will be responsible for overseeing the development and implementation of business intelligence solutions for organizations. You will need a strong understanding of data analysis, data visualization, and business intelligence tools, as well as experience with team management and project delivery. Strong problem-solving and leadership skills are essential, as you will be responsible for driving the strategic use of data and ensuring the success of business intelligence initiatives.
The following text about the Job role of Business Intelligence Manager has been generated by an AI model developed by OpenAI. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.
A Business Intelligence Manager is a professional who is responsible for the development and implementation of business intelligence solutions. They are responsible for the analysis of data and the development of strategies to improve the performance of the organization. They are also responsible for the development of data models and the implementation of data warehouses.
The most important skills for a Business Intelligence Manager include strong analytical and problem-solving skills, the ability to interpret data and draw meaningful conclusions, and the ability to communicate effectively with stakeholders. They must also have a good understanding of data management and data analysis tools.
The primary tasks of a Business Intelligence Manager include developing and implementing data models, data warehouses, and data analysis tools. They must also develop strategies to improve the performance of the organization and analyze data to identify trends and opportunities. They must also develop reports and dashboards to provide insights into the performance of the organization.
In addition, Business Intelligence Managers must be able to collaborate with stakeholders to ensure that the data models and data warehouses are properly implemented. They must also be able to develop and maintain relationships with external vendors and partners. They must also be able to develop and maintain data security policies and procedures.
Finally, Business Intelligence Managers must be able to develop and maintain data governance policies and procedures. They must also be able to develop and maintain data quality standards and procedures. They must also be able to develop and maintain data integration and data migration strategies.
Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.
Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.
Microsoft Certified: Azure Data Scientist Associate
The Microsoft Certified: Azure Data Scientist Associate is a high-ROI program designed for professionals who have expertise in applying data science and machine learning techniques to implement and manage machine learning workloads on Azure.
The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud.
The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.
SAS Visual Business Analytics Professional Certificate
We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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