Find & Apply For Business Intelligence Architect / Developer Jobs In Shelby, Alabama
Business Intelligence Architect / Developer roles in Shelby, Alabama involve designing, developing, and maintaining business intelligence solutions. Responsibilities include analyzing data, creating reports, and collaborating with stakeholders to ensure data accuracy and integrity. These positions require strong analytical skills, expertise in BI tools, and knowledge of database technologies. Below you can find different Business Intelligence Architect / Developer positions in Shelby, Alabama.
Jobs in Shelby
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 Shelby
Salary Information & Job Trends In this Region
Business Intelligence Architect / Developer in Shelby, Alabama play a crucial role in analyzing data to provide valuable insights for businesses. - 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 Shelby, Alabama dates back to the rise of data-driven decision-making in the business world. As companies started to collect more data, the need for professionals to analyze and interpret this data became essential. Over time, the role of Business Intelligence Architects / Developers has evolved to encompass not only data analysis but also data visualization, reporting, and predictive analytics. With the advancement of technology, these professionals now use sophisticated tools and techniques to extract actionable insights from large datasets. Current trends in the field of Business Intelligence Architecture / Development in Shelby, Alabama include the integration of artificial intelligence and machine learning algorithms to enhance data analysis capabilities. Additionally, there is a growing emphasis on real-time data processing and the use of cloud-based solutions for scalable and efficient data management.
