Find & Apply For Analytics Manager Jobs In Madison, Alabama
Analytics Manager jobs in Madison, Alabama involve overseeing data analysis, developing strategies, and leading a team to improve business performance. Responsibilities include collecting, interpreting data, and implementing solutions to enhance decision-making processes. Candidates should possess strong analytical skills, leadership abilities, and a background in data analysis or related fields. Below you can find different Analytics Manager positions in Madison, Alabama.
Jobs in Madison
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 Madison
Salary Information & Job Trends In this Region
The Analytics Manager in Madison, Alabama oversees data analysis and reporting to support business decision-making. - Entry-level Data Analyst salaries range from $50,000 to $60,000 per year - Mid-career Analytics Manager salaries range from $80,000 to $100,000 per year - Senior-level Director of Analytics salaries range from $120,000 to $150,000 per year The role of an Analytics Manager in Madison, Alabama has a rich history rooted in the growth of technology and data-driven decision-making in businesses. As companies began to recognize the value of data in the late 20th century, the demand for skilled professionals in analytics grew. Over the years, the role of an Analytics Manager has evolved to encompass not only data analysis but also strategic planning, team management, and communication with stakeholders. With advancements in technology and the increasing availability of data, Analytics Managers are now expected to possess a diverse set of skills to effectively leverage data for business success. Current trends in the field of analytics in Madison, Alabama include the implementation of advanced analytics tools, such as machine learning and artificial intelligence, to extract insights from large datasets. Additionally, there is a growing emphasis on data privacy and security, as well as the use of data visualization techniques to communicate findings effectively to non-technical stakeholders.
