Find & Apply For Business Intelligence Architect / Developer Jobs In Cumberland, North Carolina

Business Intelligence Architect / Developer jobs in Cumberland, North Carolina involve designing and developing data solutions to support business decision-making. Responsibilities include analyzing data requirements, developing data models, and building data pipelines. These roles require strong analytical skills, experience with BI tools, and knowledge of data warehousing concepts. Below you can find different Business Intelligence Architect / Developer positions in Cumberland, North Carolina.

Jobs in Cumberland

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 Cumberland

Salary Information & Job Trends In this Region

Business Intelligence Architects / Developers in Cumberland, North Carolina play a crucial role in analyzing data and creating valuable insights for businesses. - Entry-level Business Intelligence Analyst salaries range from $50,000 to $70,000 per year - Mid-career Business Intelligence Developer 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 Cumberland, North Carolina can be traced back to the rise of data-driven decision-making in businesses. As technology advanced, the need for professionals skilled in data analysis and interpretation grew. Over the years, the role of Business Intelligence Architects / Developers has evolved to encompass not only data analysis but also data visualization, predictive modeling, and strategic planning. They are now integral to helping businesses make informed decisions based on data insights. Current trends in the field of Business Intelligence Architect / Developer in Cumberland, North Carolina include the use of artificial intelligence and machine learning algorithms to enhance data analysis capabilities. Additionally, there is a growing focus on data privacy and security, as well as the integration of big data sources for more comprehensive analysis.

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