Find & Apply For Business Intelligence Architect / Developer Jobs In Lee, Alabama
Business Intelligence Architect / Developer jobs in Lee, Alabama involve designing, developing, and implementing data solutions to improve business decision-making. Responsibilities include creating data models, designing ETL processes, and developing visualizations. Candidates must have strong SQL and programming skills, experience with BI tools like Tableau or Power BI, and a solid understanding of data warehousing concepts. Below you can find different Business Intelligence Architect / Developer positions in Lee, Alabama.
Jobs in Lee
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 Lee
Salary Information & Job Trends In this Region
Business Intelligence Architects/Developers in Lee, Alabama work to design and implement data solutions for organizations to make informed business decisions. - Entry-level Business Intelligence Developer salaries range from $50,000 to $70,000 per year - Mid-career Business Intelligence Architect salaries range from $80,000 to $100,000 per year - Senior-level Business Intelligence Manager salaries range from $110,000 to $130,000 per year The role of a Business Intelligence Architect/Developer in Lee, Alabama has a rich history rooted in the need for data-driven decision-making in organizations. As technology has advanced, the role has evolved to encompass complex data analysis and visualization techniques. In recent years, the Business Intelligence Architect/Developer role in Lee, Alabama has seen a shift towards more advanced analytics, machine learning, and artificial intelligence integration. Organizations are seeking professionals who can not only gather and analyze data but also provide valuable insights and predictive modeling. The future trends for Business Intelligence Architects/Developers in Lee, Alabama point towards increased automation, real-time data processing, and a focus on integrating data from various sources to provide a comprehensive view for decision-makers. Staying current with technological advancements and continuously improving data management practices will be crucial for professionals in this field.
