Find & Apply For Business Intelligence Architect / Developer Jobs In Lincoln, Maine
Business Intelligence Architect / Developer jobs in Lincoln, Maine involve designing, developing, and maintaining business intelligence solutions. Responsibilities include gathering requirements, analyzing data, creating data visualizations, and optimizing database performance. Candidates must have strong analytical skills, experience with BI tools, and knowledge of database systems. Below you can find different Business Intelligence Architect / Developer positions in Lincoln, Maine.
Jobs in Lincoln
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 Lincoln
Salary Information & Job Trends In this Region
Business Intelligence Architects / Developers in Lincoln, Maine 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 Lincoln, Maine can be traced back to the emergence of data warehouses and decision support systems in the 1980s. As technology advanced, the role evolved to encompass data mining, predictive analytics, and machine learning. With the exponential growth of data in recent years, Business Intelligence Architects / Developers in Lincoln, Maine have adapted to new tools and techniques to handle large datasets efficiently. They now focus on creating interactive dashboards, implementing data visualization tools, and leveraging artificial intelligence for advanced analytics. Current trends in Business Intelligence Architecture / Development in Lincoln, Maine include a shift towards self-service analytics, cloud-based solutions, and real-time data processing. Professionals in this field are also exploring the integration of IoT data and predictive modeling to drive strategic decision-making processes.
