Data Management Analyst

• About 2 days ago
• Fixnhour Escrow Protection

Job Description:

A Data Mining & Management professional is responsible for collecting, analyzing, and organizing large sets of structured and unstructured data to support business decision-making. This role involves identifying valuable data patterns, trends, and insights using statistical techniques, data mining tools, and machine learning methods. They ensure data accuracy, maintain data quality standards, and manage databases to keep information secure, updated, and accessible. The professional collaborates with analysts, developers, and business teams to transform raw data into meaningful insights that enhance productivity, optimize processes, and drive strategic planning.

Key Responsibilities:

• Extract, clean, and preprocess large datasets from multiple sources.

• Perform data mining, statistical analysis, and predictive modeling.

• Identify trends, correlations, and actionable insights.

• Develop and maintain databases, dashboards, and data management systems.

• Ensure data integrity, security, and compliance with standards.

• Present findings through reports, visualizations, and presentations.

• Collaborate with cross-functional teams to support data-driven decisions.

Required Skills & Qualifications:

• Strong knowledge of SQL, Python, R, or data mining tools (RapidMiner, Weka, etc.).

• Experience with database management systems (MySQL, PostgreSQL, MongoDB).

• Understanding of statistical methods and machine learning techniques.

• Proficiency in data cleaning, transformation, and normalization.

• Ability to interpret complex datasets and produce clear insights.

• Excellent analytical, problem-solving, and communication skills.

• Bachelor’s degree in Computer Science, Data Science, Information Management, or related field.