Find & Apply For Business Intelligence Architect / Developer Jobs In Maine

Business Intelligence Architect / Developer jobs in Maine involve designing, developing, and implementing BI solutions to meet business requirements. Responsibilities include analyzing data, creating data visualizations, and maintaining data systems. These roles require experience with BI tools, data modeling, and SQL. Below you can find different Business Intelligence Architect / Developer positions in Maine.

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Explore the growing demand for Business Intelligence Architects/Developers in Maine. Discover exciting opportunities and competitive salaries in this evolving job market.

Maine Business Intelligence Architect / Developer Industry Trends & Salary Information

Business Intelligence Architects / Developers in 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 role of Business Intelligence Architects / Developers in Maine has a rich history, dating back to the early days of data analysis and reporting in businesses and organizations in the state. Over the years, the demand for professionals in this field has steadily increased as businesses recognize the value of data-driven decision-making. The evolution of Business Intelligence Architects / Developers in Maine has seen advancements in technology, tools, and methodologies used to collect, analyze, and visualize data. With the rise of big data and analytics, professionals in this field have adapted to new challenges and opportunities to provide valuable insights to their organizations. Current trends in the field of Business Intelligence Architecture / Development in Maine include the integration of artificial intelligence and machine learning algorithms, the focus on data governance and privacy regulations, and the increasing importance of real-time analytics and reporting. Professionals in this field must stay updated on the latest trends and technologies to remain competitive in the industry.

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