Data Management Analyst

• About 2 days ago
• Fixnhour Escrow Protection

A Data Mining & Management professional is responsible for collecting, analyzing, and organizing large datasets to extract valuable insights that support strategic decision-making. The role involves identifying patterns, trends, and correlations within data using statistical tools, machine learning algorithms, and data visualization techniques.

These professionals ensure data accuracy, consistency, and security while developing systems for efficient data storage and retrieval. They work closely with business analysts, data scientists, and IT teams to optimize data processes, design data models, and maintain data integrity across databases and applications.

Their core objective is to transform raw data into actionable intelligence that drives business growth, operational efficiency, and informed decision-making. A successful candidate must possess strong analytical, technical, and problem-solving skills, along with proficiency in data handling tools and techniques.

C. Required Skills:

• Strong knowledge of SQL, Python, or R for data analysis and manipulation.

• Expertise in data mining algorithms and machine learning fundamentals.

• Proficiency in database management systems (MySQL, Oracle, MongoDB, etc.).

• Experience with ETL (Extract, Transform, Load) processes and data pipelines.

• Familiarity with data visualization tools (Tableau, Power BI, or Google Data Studio).

• Understanding of data warehousing concepts and big data technologies (Hadoop, Spark).

• Strong analytical and problem-solving abilities.

• Attention to detail and a commitment to maintaining data quality and accuracy.

• Knowledge of data governance, privacy policies, and security standards.

• Excellent communication skills to interpret and present insights effectively to non-technical teams.