Description :

Title - Data Analyst/Processing Specialist 

Location - Delhi, Bhopal, Dodi, Andhra Pradesh

Job Description

Data Processing:

• Collect, clean, and process large datasets to ensure accuracy and reliability.
• Develop and implement procedures for efficient data extraction and transformation.

Statistical Analysis:

• Conduct statistical analyses to extract meaningful insights from structured and unstructured data.
• Use statistical tools and models to identify trends, patterns, and correlations.

Database Management:

• Design and maintain databases for storing and retrieving structured data.
• Ensure data integrity and security in database management.

Data Visualization:

• Create visually compelling and informative charts, graphs, and dashboards.
• Communicate complex data insights in a clear and accessible manner.

Programming and Scripting:

• Utilize programming languages (e.g., Python, R) and scripting tools for data manipulation and analysis.
• Develop automated processes to streamline data workflows.

Quality Assurance:

• Implement quality control measures to validate data accuracy and completeness.
• Identify and resolve data discrepancies and anomalies.

Report Generation:

• Generate comprehensive reports summarizing key findings and recommendations.
• Customize reports for different stakeholders and project requirements.

Collaboration:

• Work closely with cross-functional teams, including data scientists, business analysts, and domain experts.
• Collaborate on projects to support data-driven decision-making.

Data Mining:

• Employ data mining techniques to discover patterns and insights in large datasets.
• Extract valuable information for strategic planning and forecasting.

Continuous Improvement:

• Stay informed about industry trends, data analysis tools, and methodologies.
• Propose and implement improvements to enhance data processing efficiency.

Documentation:

• Document data processing procedures, methodologies, and workflows.
• Ensure documentation is accessible and comprehensible for team members.

Ethical Data Handling:

• Adhere to ethical standards in data handling, ensuring privacy and compliance with regulations.
• Implement measures for data anonymization and protection.