Team Member - Data Analyst

Responsibilities

Data Analysis & Reporting

• Collect, validate, and analyze operational and business data from various sources.
• Prepare daily, weekly, and monthly MIS reports and dashboards.
• Monitor key performance indicators (KPIs) and identify trends, gaps, and improvement opportunities.
• Generate analytical reports and presentations for management reviews.
  
  

Business Performance Monitoring

• Track business performance against targets and budgets.
• Support variance analysis and root cause identification.
• Assist in preparing business forecasts and performance projections.
• Provide insights to improve operational efficiency and productivity.
  
  

Process Improvement

• Identify process bottlenecks and recommend corrective actions.
• Support automation and digitization initiatives.
• Participate in continuous improvement projects.
• Develop and maintain standard operating procedures (SOPs) and documentation.
  
  

Stakeholder Coordination

• Coordinate with cross-functional teams for data collection and validation.
• Support management reviews, audits, and business meetings.
• Ensure timely submission of reports and business updates.
  
  

Database & Systems Management

• Maintain data integrity across business systems.
• Support ERP, BI tools, and reporting platforms.
• Assist in developing dashboards using Power BI, Excel, or other analytics tools.
  
  

Key Deliverables

• Timely and accurate MIS reports.
• Business performance dashboards.
• Data-driven insights and recommendations.
• KPI monitoring and trend analysis.
• Process improvement initiatives and tracking.
  
  

Qualifications

Educational Qualification

• Bachelor's Degree in Engineering, Statistics, Mathematics, Economics, Commerce, Business Administration, or related discipline.
• MBA (Finance/Operations/Analytics) preferred.
  
  

Experience

• 2 to 5 years of experience in Business Analytics, MIS, Operations Analytics, Data Analysis, or Performance Management.
• Experience in infrastructure, ports, logistics, manufacturing, energy, or large corporate environments preferred.