Business Intelligence Architect

A Business Intelligence Architect designs and develops the architecture for business intelligence solutions, ensuring data integration, scalability, and performance.
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

Business Intelligence Architect

Payscale
Market
National (USA)
Base Salary
$114,780 / year
Satisfaction
Additional Benefits
Yes
Industry
All
Education
Bachelor's Degree

The average salary for Business Intelligence Architect is $114,780 / year according to Payscale.com

There are no updated reports for Business Intelligence Architect salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

Business Intelligence Architect role may have an alternate title depending on the company. To find more information, you can check Payscale.com.

Career Information

As a Business Intelligence Architect, you will be responsible for designing and implementing the architecture of business intelligence systems for organizations. You will need a strong understanding of data modeling, ETL processes, and data visualization tools, as well as experience with database management and system integration. Strong problem-solving and communication skills are essential, as you will be responsible for creating scalable and efficient business intelligence solutions.

The average salary for Business Intelligence Architect is $114,780 / year according to Payscale.com
AI Disclaimer
The following text about the Job role of Business Intelligence Architect has been generated by an AI model developed by Cohere. 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.

At a high level, a Business Intelligence (BI) Architect is responsible for designing and implementing business intelligence solutions to help organizations make informed business decisions. They work with a variety of technologies and tools to collect, organize, and analyze data, and they use this data to create reports, dashboards, and other visualizations.

A Business Intelligence Architect typically has a strong background in computer science or a related field, and they are comfortable working with a variety of technologies, including databases, data warehouses, and data visualization tools. They are also skilled in data analysis and statistics, and they are able to design and implement solutions that can help organizations make sense of their data.

Some of the most important skills for a Business Intelligence Architect include:

  • The ability to design and implement business intelligence solutions that can help organizations make informed business decisions
  • The ability to work with a variety of technologies and tools, including databases, data warehouses, and data visualization tools
  • The ability to collect, organize, and analyze data
  • The ability to create reports, dashboards, and other visualizations
  • The ability to communicate complex ideas in a clear and concise manner
  • The ability to work effectively with others

Some of the tasks that a Business Intelligence Architect may be responsible for include:

  • Working with business and technical stakeholders to understand business requirements and objectives
  • Designing and implementing business intelligence solutions that can help organizations make informed business decisions
  • Collecting, organizing, and analyzing data
  • Creating reports, dashboards, and other visualizations
  • Communicating complex ideas in a clear and concise manner
  • Collaborating with others to ensure the successful implementation of business intelligence solutions

Overall, a Business Intelligence Architect is a critical member of any organization's team, as they are responsible for designing and implementing solutions that can help organizations make informed business decisions. They are skilled in a variety of technologies and tools, and they are able to collect, organize, and analyze data to create reports, dashboards, and other visualizations.

Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

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.
Certification Programs
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

DP-100

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.

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AWS Certified Machine Learning — Specialty Certification

MLS-C01

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. 

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Google Certified Professional Machine Learning Engineer

The Google Machine Learning Certification is a high-ROI program designed for ML engineers who want to gain specialized machine learning skills using Google Cloud technologies.

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AWS Certified Data Analytics — Specialty

DAS-C01

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.

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Microsoft Certified: Azure Enterprise Data Analyst Associate

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The Azure Data Analyst Certification is a high-ROI program designed for professionals who have expertise in designing, creating, and deploying enterprise-scale data analytics solutions.

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Databricks Certified Data Engineer Associate

The Databricks Data Engineer Certification program is highly sought after, designed to evaluate an individual's proficiency in utilizing the Databricks Lakehouse Platform for performing fundamental data engineering tasks.

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Microsoft Certified: Azure Data Engineer Associate

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The Microsoft Certified: Azure Data Engineer Associate program is designed for professionals who have expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems.

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Google Certified Professional Data Engineer

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Specialty Courses improving
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

Professional

Principles of Economics

Course

Professional Communication: Business Writing and Storytelling

Executive Program

Data Strategy and Management

Executive Program

Google Data Analytics Professional Certificate

Professional

Mathematics for Machine Learning and Data Science Specialization

Specialization

Introduction to Data Science

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Deep Learning Specialization

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IBM Data Analyst Professional Certificate

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Genomic Data Science Specialization

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Data Science with Databricks for Data Analysts Specialization

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How to Become a Business Analyst

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Google Advanced Data Analytics Professional Certificate

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Google Business Intelligence Professional Certificate

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Data Analyst with Python

Career Track

Resource Stacks

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.
Publications
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.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
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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