Data Analyst

• Data Analyst
• Company: MAEER's MIT Arts Commerce & Science College Alandi (D) Pune
• Job Location: Satara, Maharashtra, India
• Employment Type: Full-time
• Company Description

MAEER's MIT Arts Commerce & Science College Alandi (D) Pune is part of the MIT group of institutions, recognized for its focus on quality higher education across arts, commerce, and science disciplines. The college emphasizes academic excellence, practical learning, and industry-relevant skills to prepare learners for contemporary professional environments. It fosters a culture of research, critical thinking, and innovation among students and staff. Team members join a collaborative academic community committed to student success and institutional growth.

Role Description

The Data Analyst is a full-time on-site role based in Satara, supporting academic and administrative decision-making through data-driven insights. Day-to-day tasks include collecting, cleaning, and organizing data from various institutional sources, performing statistical analyses, and developing reports, dashboards, and visualizations for stakeholders. The role involves building and maintaining data models, identifying trends and performance indicators, and supporting accreditation, planning, and quality initiatives with evidence-based recommendations. The Data Analyst will collaborate with faculty, administration, and IT teams to understand data needs, communicate findings clearly, and help improve processes, resource allocation, and student outcomes.

• Qualifications
• Candidates should possess strong Analytical Skills and proven experience in Data Analytics.
• Candidates should possess practical knowledge of Statistics for interpreting institutional and academic data.
• Candidates should possess skills in Data Modeling for structuring, integrating, and maintaining datasets.
• Candidates should possess clear and professional Communication skills for presenting insights to technical and non-technical stakeholders.
• Proficiency with data analysis tools (e.g., Excel, SQL, Python/R, or BI tools such as Power BI/Tableau) is beneficial.
• Bachelors or masters degree in Statistics, Mathematics, Data Science, Computer Science, Economics, or a related field is preferred.
• Experience in educational or institutional data analysis, reporting, or quality assurance will be an advantage.
• Ability to work independently, manage multiple datasets and deadlines, and maintain high standards of data accuracy and confidentiality is expected. .