As this post is dedicated to the role of Power BI developer, let’s learn about this role and the required skills to become one. Gartner recognized Microsoft as a leader in the 2020 Gartner Magic Quadrant for Analytics and Business Intelligence Platform for the 13th consecutive year.Ĭareer opportunities related to this tool are wide and Power BI roles are high in demand especially Power BI developers, Power BI consultants, and Power BI analysts. Microsoft’s reliability and powerful features make it one of the widely-used BI tools. Power BI is a widely popular BI tool having customers ranging from students, startups, SMEs to large-scale enterprises. It offers self-service analytics capability to let end-users create reports and dashboards. Power BI is on the top of the list of popular BI tools due to its ease of use and interactive visualization. It offers interactive visualization and advanced analytics capabilities that empower everyone to make smarter and real-time decisions. Power BI is a set of Business Intelligence and Analytics Services from Microsoft. It covers everything you need to know for the post of Power BI developer, required skills, roles and responsibilities, scope, salary, tools, certification, and so on. This post aims to become a one-stop guide for one such data-focused profession, Power BI developer. A number of data science jobs are considered highly-rewarding and among top skills in the upcoming time. This led to skyrocketing opportunities for professionals who are capable of drill-down data and extract meaningful insights from it. The global Business Intelligence Market size to grow from USD 23.1 billion in 2020 to USD 33.3 billion by 2025 at a 7.6% CAGR during the forecast periods,
Jobs in the field of data science have been increased rapidly in the last couple of years due to data-centric strategies and the potential of data to drive decisions. At present, if you search for skills and job titles in technology that can pave the way for your bright career, you might come across titles like Full-stack developers, frontend developers, data scientists, BI developers, AI engineers, data analysts, information security analysts, and so on.
This might happen to you if you are a student of computer science and technology or have already completed academic in computer studies.
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