Find & Apply For Business Intelligence Architect / Developer Jobs In Wilson, North Carolina
Business Intelligence Architect / Developer jobs in Wilson, North Carolina involve designing, developing, and maintaining data solutions to support business decision-making. Responsibilities include creating data models, extracting and transforming data, and developing reports and dashboards. Candidates should have strong SQL and programming skills, as well as experience with BI tools such as Tableau or Power BI. Below you can find different Business Intelligence Architect / Developer positions in Wilson, North Carolina.
Jobs in Wilson
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Latest Jobs in Wilson
Salary Information & Job Trends In this Region
Business Intelligence Architects/Developers in Wilson, North Carolina play a crucial role in analyzing and interpreting complex data to help organizations make informed business decisions. - Entry-level Business Intelligence Developer salaries range from $50,000 to $70,000 per year - Mid-career Business Intelligence Analyst salaries range from $70,000 to $90,000 per year - Senior-level Business Intelligence Architect salaries range from $90,000 to $120,000 per year The history of Business Intelligence Architects/Developers in Wilson, North Carolina traces back to the early days of data processing when companies began using computers to analyze business information for strategic decision-making. Over the years, the role of Business Intelligence Architects/Developers has evolved to include not only data analysis but also data visualization, data mining, and predictive analytics to provide valuable insights to organizations. Current trends in the field of Business Intelligence Architecture/Development in Wilson, North Carolina include the increasing use of artificial intelligence and machine learning algorithms to automate data analysis processes, the integration of Big Data technologies for handling large volumes of data, and the emphasis on data governance and data security to ensure the confidentiality and integrity of data.
