Data Analyst

Data Collection and Cleaning:

• Gathering relevant data from various sources.
• Cleaning and organizing data for analysis by removing inconsistencies, duplicates, or errors.

Data Analysis and Interpretation:

• Conducting thorough analysis using statistical methods, machine learning, or other analytical techniques.
• Interpreting data to identify trends, patterns, and correlations.

Reporting and Visualization:

• Creating reports, dashboards, and visual representations of data analysis for easy comprehension by stakeholders.
• Using tools like Tableau, Power BI, or custom-built solutions to present data effectively.

Data Quality Assurance:

• Ensuring data accuracy, integrity, and consistency.

Collaboration and Communication:

• Collaborating with different teams or departments to understand their data needs.
• Communicating complex findings in a clear, understandable manner to non-technical stakeholders.

Interested candidates are requested to share their CV at career@bennett.edu.in with the subject line "Data Analyst" on or before December 20, 2024.