Data Analyst

Key Responsibilities

Data Collection & Management

• Collect, organize, and validate data from multiple internal and external sources
• Ensure data integrity, accuracy, and consistency across systems
• Maintain structured datasets for academic, HR, finance, and operational reporting
• Perform regular data quality checks and cleansing activities

Data Analysis

• Analyze large datasets to identify trends, patterns, anomalies, and insights
• Prepare periodic reports on KPIs, performance metrics, and business outcomes
• Conduct comparative and predictive analysis for strategic decision-making
• Support management with actionable recommendations based on findings

Dashboard & Reporting

• Design and maintain dashboards using tools such as Power BI, Tableau, Google Data Studio, or Excel
• Create daily, weekly, monthly, and quarterly MIS reports
• Automate recurring reporting workflows
• Develop visual reports for leadership presentations

Business Intelligence Support

• Support strategic teams in forecasting, capacity planning, and performance reviews
• Analyze student, employee, financial, and process-related data
• Provide insights for operational optimization and growth initiatives
• Assist in identifying process bottlenecks through data trends

Cross-Functional Collaboration

• Work closely with academic, HR, finance, and operations teams
• Understand business requirements and translate them into analytical reports
• Support leadership with data-backed decision frameworks

Required Skills & Qualifications

• Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or related field
• Proven experience as a Data Analyst, MIS Analyst, or Business Analyst
• Strong command of MS Excel (Advanced)
• Working knowledge of SQL
• Experience with Power BI / Tableau
• Good understanding of statistics and data interpretation
• Strong analytical thinking and problem-solving skills
• Excellent attention to detail
• Strong verbal and written communication skills

Preferred Technical Skills

• SQL queries and database handling
• Python (Pandas, NumPy, Matplotlib)
• Excel automation and advanced formulas
• Pivot tables, Power Query, dashboards
• Data visualization and storytelling
• Forecasting and trend analysis
• KPI framework creation

Key Competencies

• Analytical mindset
• Business acumen
• Accuracy and precision
• Time management
• Stakeholder communication
• Reporting excellence
• Insight generation

Performance Metrics

The candidate will be evaluated based on:

• reporting accuracy
• turnaround time
• dashboard effectiveness
• insight quality
• automation efficiency
• business impact of recommendations

Career Growth

This role offers progression opportunities into:

• Senior Data Analyst
• Business Intelligence Analyst
• Strategy Analyst
• Analytics Lead
• Data Science roles