Find & Apply For Business Intelligence Analyst Jobs In Lawrence, Alabama
Business Intelligence Analyst jobs in Lawrence, Alabama involve analyzing data to provide insights for decision-making. Responsibilities include collecting, organizing, and interpreting data, creating reports, and communicating findings to stakeholders. Candidates must have strong analytical skills, proficiency in data analysis tools, and the ability to work collaboratively with cross-functional teams. Below you can find different Business Intelligence Analyst positions in Lawrence, Alabama.
Jobs in Lawrence
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 Lawrence
Salary Information & Job Trends In this Region
Business Intelligence Analysts in Lawrence, Alabama play a crucial role in analyzing data to provide valuable insights and support decision-making within organizations. - Entry-level Business Intelligence Analyst salaries range from $50,000 to $65,000 per year - Mid-career Business Intelligence Analyst salaries range from $70,000 to $85,000 per year - Senior-level Business Intelligence Analyst salaries range from $90,000 to $110,000 per year The history of Business Intelligence Analysts in Lawrence, Alabama traces back to the rise of data-driven decision-making in the late 20th century. As organizations began to collect and store vast amounts of data, the need for professionals who could interpret and analyze this data became apparent. The evolution of Business Intelligence Analysts in Lawrence, Alabama has been marked by advancements in technology, leading to more sophisticated tools and techniques for data analysis. Additionally, the role has expanded to encompass not only data analysis but also strategic planning and forecasting. Current trends in the field of Business Intelligence Analysts in Lawrence, Alabama include the increasing use of artificial intelligence and machine learning algorithms to derive insights from data. There is also a growing emphasis on data visualization techniques to communicate findings effectively to stakeholders.
