Business Intelligence Data Analyst

A Business Intelligence Data Analyst analyzes and interprets data to provide insights and support data-driven decision-making, utilizing business intelligence tools and techniques.
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

Business Intelligence Data Analyst

Glassdoor
Market
National (USA)
Base Salary
$94,709 / year
Satisfaction
Additional Benefits
Yes
Industry
All
Education
Bachelor's Degree

The average salary for Business Intelligence Data Analyst is $94,709 / year according to Glassdoor.com

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

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

Career Information

As a Business Intelligence Data Analyst, you will be responsible for analyzing and interpreting data to provide insights and recommendations to organizations. You will need a strong understanding of data analysis techniques and business intelligence tools, as well as experience with data visualization and reporting. Strong problem-solving and analytical skills are essential, as you will be responsible for translating data into actionable insights.

The average salary for Business Intelligence Data Analyst is $94,709 / year according to Glassdoor.com
AI Disclaimer
The following text about the Job role of Business Intelligence Data Analyst 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.

Business Intelligence Data Analyst is a job role that involves working with business data to identify trends, patterns, and insights. The analyst's primary responsibility is to collect, organize, and analyze business data to help businesses make informed decisions.

The Business Intelligence Data Analyst must have a strong understanding of business data and how to use it to drive business growth. They must be able to collect, organize, and analyze data from a variety of sources, including databases, spreadsheets, and other business systems. The analyst must also be able to communicate their findings to stakeholders in a clear and concise manner.

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

  • Strong understanding of business data and how to use it to drive business growth
  • Ability to collect, organize, and analyze data from a variety of sources
  • Ability to communicate findings to stakeholders in a clear and concise manner
  • Strong problem-solving and analytical skills
  • Ability to work independently and as part of a team
  • Flexibility and adaptability in a fast-changing business environment

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

  • Collecting, organizing, and analyzing business data
  • Identifying trends, patterns, and insights in business data
  • Communicating findings to stakeholders in a clear and concise manner
  • Collaborating with business teams to identify data needs and requirements
  • Developing reports and dashboards to visualize business data
  • Conducting ad hoc analysis and investigations as needed
  • Staying up-to-date on industry trends and best practices

Overall, the Business Intelligence Data Analyst is a critical role in any business. They provide the insights and analysis that businesses need to make informed decisions and drive business growth.

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.

Intermediate
View More

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. 

Advanced
View More

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.

Advanced
View More

Microsoft Certified: Azure Enterprise Data Analyst Associate

DP-500

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.

Intermediate
View More

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.

Advanced
View More

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.

Intermediate
View More
Specialization Programs 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.

Statistics for Data Analysis

Nanodegree

SAS Visual Business Analytics Professional Certificate

Professional

Principles of Economics

Course

Google Data Analytics Professional Certificate

Professional

Mathematics for Machine Learning and Data Science Specialization

Specialization

Introduction to Data Science

Specialization

Deep Learning Specialization

Specialization

IBM Data Analyst Professional Certificate

Professional

Genomic Data Science Specialization

Specialization

Learn Intermediate Python

Nanodegree

Data Science with Databricks for Data Analysts Specialization

Specialization

How to Become a Business Analyst

Nanodegree

Google Advanced Data Analytics Professional Certificate

Professional

Google Business Intelligence Professional Certificate

Professional

Data Analyst with R

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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