Find & Apply For Data / Data Mining Analyst Jobs In Cumberland, Maine
Data / Data Mining Analyst jobs in Cumberland, Maine involve gathering, analyzing, and interpreting data to identify trends and patterns. Analysts utilize various tools and techniques to extract insights and make data-driven recommendations. Successful candidates possess strong analytical skills, proficiency in data mining software, and a solid understanding of statistical methods. Below you can find different Data / Data Mining Analyst positions in Cumberland, Maine.
Jobs in Cumberland
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.
Business Insights Specialist (Analytics for Consumer Deposits – Python/SAS/SQL/Databricks/Azure -US)
TD Bank
Cumberland, ME
Membership Data Sr. Analyst
The Nature Conservancy
Cumberland, ME
Sr. Data Analyst
Sedgwick
Cumberland, ME
Latest Jobs in Cumberland
Salary Information & Job Trends In this Region
Data / Data Mining Analysts in Cumberland, Maine play a key role in extracting insights from vast amounts of data to drive decision making. - Entry-level Data Analyst salaries range from $50,000 to $65,000 per year - Mid-career Data Analyst salaries range from $65,000 to $85,000 per year - Senior Data Mining Analyst salaries range from $85,000 to $110,000 per year The role of Data / Data Mining Analyst has been integral in organizations as they manage and interpret data to aid strategic planning. Originating from statistical and computational principles, the profession has become indispensable in today’s data-driven economy. Over the years, the responsibilities and tools of Data / Data Mining Analysts in Cumberland have evolved significantly. Initially focusing on basic data collection and analysis, the role now encompasses advanced predictive analytics, machine learning, and data modeling techniques to provide deeper insights. Current trends affecting Data / Data Mining Analysts in Cumberland include the increasing use of artificial intelligence to automate data analysis, the growing importance of data privacy and security, and the continuous need for skills in new data technologies and software.
