A Data Miner is a professional who specializes in the process of discovering patterns, trends, and valuable insights from large datasets using various techniques such as statistical analysis, machine learning, and data mining algorithms. They extract useful information from structured or unstructured data to support business decision-making, predict future trends, or improve processes.

Data miners use tools and languages like Python, R, SQL, and specialized software such as SAS, RapidMiner, or KNIME. Their tasks include cleaning and preprocessing data, applying algorithms like clustering, classification, and association rule mining, and visualizing results to communicate findings clearly. They often work with big data technologies such as Hadoop or Spark to analyze large datasets from multiple sources, including transactional data, social media, sensor data, or customer behavior logs.

Data miners are crucial for organizations looking to leverage their data for competitive advantage, enabling insights that drive marketing strategies, risk management, and operational improvements.