A Business Intelligence Data Analyst analyzes and interprets data to provide insights and support data-driven decision-making, utilizing business intelligence tools and techniques.
Potential Lateral Jobs
Business Intelligence Data Analyst
$94,709 / year
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.
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 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.
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.
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.
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.
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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