Data Analyst

Data Analyst

Key Roles & Responsibilities

1. Dashboard Development & Reporting.

• Develop and maintain multi-page, interactive

  Power BI dashboards

  to monitor KPIs across different schools and departments.
• Build performance monitoring dashboards that highlight institutional gaps and support strategic decision-making for university leadership.
• Ensure dashboards are visually intuitive, automated, and updated regularly for stakeholder use.

2. Institutional Ranking & Performance Analytics

• Analyze official

  NIRF parameters

  and datasets to predict the university’s potential ranking in the “University Category.”
• Apply statistical methods to identify drivers of ranking performance and recommend improvement strategies.
• Prepare periodic ranking assessment reports for leadership.

3. Competitor & Benchmark Analysis

• Develop

  Competitor Benchmarking Dashboards

  to compare institutional performance with top Skill Universities across:
• KPI metrics
• NIRF indicators
• Faculty profiles
• Student demographics
• Academic performance
• Provide insights on competitive positioning and improvement areas.

4. Student Performance & Result Data Analysis

• Perform deep-dive analysis of student result data using statistical techniques such as:
• Bell Curve Analysis
• KDE (Kernel Density Estimation)
• Normal Distribution Modeling
• Identify performance trends, outliers, and areas requiring intervention.
• Collaborate with academic teams to support student performance improvement strategies.

5. Data Management & Decision Support

• Collect, clean, and transform large datasets from multiple sources within the university.
• Ensure data accuracy, consistency, and reliability in all reports and dashboards.
• Provide actionable insights through ad-hoc reports, presentations, and data storytelling.

Required Skills & Competencies:-

Technical Skills

• Strong proficiency in

  Power BI

  , including DAX, data modeling, and creation of interactive dashboards.
• Expertise in

  Python

  (Pandas, NumPy, Matplotlib/Seaborn preferred).
• Strong command over

  SQL

  (queries, joins, data extraction & transformation).
• Skilled in

  Tableau

  for dashboard building and data visualization.

• Advanced Excel

  (pivot tables, Power Query, advanced functions, automation tools).
• Strong capabilities in

  Exploratory Data Analysis (EDA)

  .
• Experience in

  data cleaning, data transformation

  , and maintaining high data quality.

Analytical & Statistical Skills

• Solid understanding of statistical methods such as KDE, Normal Distribution, correlation, trend analysis, and outlier detection.
• Excellent analytical thinking and problem-solving ability.
• Ability to interpret complex datasets and translate them into meaningful, actionable insights.

Communication & Domain Skills

• Strong communication, presentation, and report-writing skills.
• Ability to create structured documentation and analytical reports for leadership.
• Experience in academic analytics, institutional research, or education sector analysis is a plus

Qualifications

• MBA preferred

  (Specialization in

  Finance

  or

  Operations

  ).
• Bachelor’s degree in Data Analytics, Statistics, Engineering, Computer Science, Mathematics, or related field is acceptable.
• Relevant experience in data analysis, BI tools, or educational analytics will be an advantage.