A Power BI Data Analyst is a professional responsible for transforming complex datasets into visually appealing and actionable insights using Microsoft's Power BI suite. They extract, analyze, and present data to drive data-driven decision-making in organizations.
Potential Lateral Jobs
Power BI Data Analyst
$90,698 / year
The average salary for Power BI Data Analyst is $90,698 / year according to Glassdoor.com
There are no updated reports for Power BI Data Analyst salaries. You can check potential lateral job opportunities in this information stack to find related salary information.
Power BI Data Analyst role may have an alternate title depending on the company. To find more information, you can check Glassdoor.com.
As a Power BI Data Analyst, you will be responsible for analyzing and visualizing data using the Power BI platform. You will need a strong understanding of data analysis techniques and visualization best practices, as well as experience with SQL and data modeling. Strong problem-solving and analytical skills are essential, as you will be responsible for providing insights and recommendations based on data analysis.
The following text about the Job role of Power BI 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.
The Power BI Data Analyst is a crucial role in the organization's data analysis and visualization team. This role is responsible for designing and implementing business intelligence solutions to help the organization make informed decisions. The Power BI Data Analyst must have a strong understanding of data analysis and visualization tools, as well as experience working with large data sets.
The most important skills for this role include:
Strong understanding of data analysis and visualization tools, such as Power BI, Excel, and other data visualization software.
Experience working with large data sets and designing complex data models.
Ability to create clear and concise reports and dashboards that are easy to understand and use.
Strong problem-solving and analytical skills.
Excellent communication and interpersonal skills.
The Power BI Data Analyst's primary responsibilities include:
Designing and implementing business intelligence solutions using Power BI and other data visualization tools.
Collecting, organizing, and analyzing data from various sources to create clear and concise reports and dashboards.
Collaborating with business stakeholders to understand their data needs and provide them with meaningful insights.
Conducting training and providing support to users on how to use Power BI and other data visualization tools.
Staying up-to-date on new features and functionality in Power BI and other data visualization tools.
The Power BI Data Analyst is a critical role in the organization's data analysis and visualization team. This role is responsible for designing and implementing business intelligence solutions that help the organization make informed decisions. The Power BI Data Analyst must have a strong understanding of data analysis and visualization tools, as well as experience working with large data sets.
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 Enterprise Data Analyst Associate
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.
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.
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.
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.
The content displayed on this website is for informational and promotional purposes only. We have made every effort to use these materials in accordance with media kits and legal guidelines. We may receive a commission for any purchases made through our website.
Please note that we are not affiliated with, endorsed by, or sponsored by any of the companies whose logos and other materials appear on our website, unless expressly specified otherwise. All trademarks, logos, and other intellectual property belong to their respective owners.
If you are a copyright owner or an agent thereof and believe that any content on our website infringes upon your copyrights, you may submit a DMCA takedown request to have the content removed. Please provide us with the necessary information to process your request, and we will take appropriate action in accordance with applicable laws.
By using our website, you acknowledge and agree to this disclaimer and assume full responsibility for your use of the information provided.
No spam. In-depth analysis, expert opinions, startup perks, and resources to bootstrap your growth.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.