Executive

Job Title: Executive - Data Analyst (Quality Assurance and Rankings Office)

Job Description:
We are seeking a meticulous and proactive Executive - Data Analyst to join the Quality Assurance and Rankings Office. The ideal candidate will play a critical role in supporting the university’s quality assurance processes and improving institutional rankings through effective data management, analysis, and strategic planning.
Key Roles and Responsibilities:

1. Data Analysis and Reporting:
• Perform comprehensive data analysis to support decision-making for quality assurance and rankings.
• Create and maintain dynamic dashboards to track institutional metrics and performance trends.
• Generate detailed reports and insights on key indicators for NAAC, NBA, NIRF, and other ranking frameworks.
2. Benchmarking and Gap Analysis:
• Conduct benchmarking studies against peer institutions to identify performance gaps and opportunities for improvement.
• Analyse institutional data to pinpoint strengths and areas requiring enhancement in alignment with accreditation and ranking criteria.
3. Documentation and Compliance:
• Prepare, organize, and maintain documentation to ensure compliance with NAAC, NBA, NIRF, and other regulatory requirements.
• Ensure data integrity and accuracy in all submissions and maintain comprehensive records for audits.
4. Strategy Development and Implementation:
• Develop actionable strategies to address identified gaps and improve institutional rankings.
• Collaborate with departments to implement data-driven initiatives for quality improvement.
5. Advanced Data Tools and Statistical Analysis:
• Utilize statistical methods to analyse institutional data and derive actionable insights.
• Leverage tools like Excel, Power BI, Tableau, and other analytics platforms to create visualizations and performance dashboards.
6. Artificial Intelligence and Automation (Preferred):
• Explore and apply AI-driven tools for predictive analysis, ranking score optimization, and data automation.
• Identify innovative solutions to streamline processes and enhance data processing efficiency.
7. Stakeholder Engagement and Communication:
• Work closely with internal stakeholders, including faculty, departmental heads, and senior management, to gather and analyse data.
• Present findings, strategies, and recommendations effectively to relevant committees and authorities.
8. Continuous Improvement:
• Stay updated on the latest trends and changes in accreditation standards and ranking frameworks.
• Actively participate in training sessions and contribute to process improvements within the office.

Key Qualifications and Skills:

• Educational Background: Bachelor’s/Master’s degree in Data Analytics, Statistics, Computer Science, Business Management/Analytics or a related field.
• Technical Proficiency: Advanced knowledge of Microsoft Excel, Power BI, Tableau, and data visualization tools.
• Data Expertise: Strong skills in data analytics, statistical analysis, and documentation.
• Knowledge of Accreditation Processes: Familiarity with NAAC, NBA, and NIRF frameworks and documentation requirements.
• Analytical Thinking: Strong ability to interpret data, identify trends, and develop actionable insights.
• AI Knowledge (Preferred): Experience in using AI tools or programming languages like Python/R for analytics is a plus.
• Communication Skills: Excellent verbal and written communication skills to present data and strategies effectively.
• Organizational Skills: Ability to manage multiple projects, prioritize tasks, and meet deadlines with accuracy.

Preferred Experience:

• 0-3 years of experience in data analysis, quality assurance, or a related field.
• Experience in institutional ranking or accreditation processes is highly desirable.