Data Mining & Management Specialist

• About 14 hours ago
• Fixnhour Escrow Protection

A Data Mining & Management Specialist is responsible for collecting, organizing, analyzing, and interpreting large datasets to support business decision-making. The role involves extracting valuable insights from raw data using statistical methods, machine learning techniques, and analytical tools. Additionally, the specialist manages data storage, ensures data accuracy, maintains databases, and implements data governance practices to ensure the security and accessibility of business-critical information.

Key Responsibilities

• Extract useful patterns and insights from structured and unstructured data.

• Develop and maintain large datasets and data repositories.

• Clean, validate, and preprocess raw data for analysis.

• Use statistical models, algorithms, and machine learning techniques for data mining.

• Create dashboards and detailed analytical reports for stakeholders.

• Work with cross-functional teams to understand data needs and business objectives.

• Monitor data quality, remove inconsistencies, and enhance data reliability.

• Ensure data security, compliance, and integrity across systems.

• Automate data processing workflows to improve efficiency.

Required Skills

• Strong knowledge of data mining techniques and algorithms

• Expertise in database management systems (SQL, NoSQL)

• Experience with data analytics tools (Power BI, Tableau, Excel, Google Data Studio)

• Proficiency in programming languages such as Python, R, or Java

• Understanding of machine learning and statistical modeling

• Familiarity with ETL (Extract, Transform, Load) processes

• Knowledge of big data frameworks (Hadoop, Spark) — preferred

• Strong analytical, problem-solving, and data interpretation skills

• Knowledge of data governance, data security, and compliance protocols