MIS Executive

The MIS Executive is responsible for data management, report generation, and ensuring the effective operation of the Management Information System within the insurance company. This role includes data entry, validation, and analysis, supporting various departments with accurate and timely business reports for informed decision-making.

Key Responsibilities:

1. Data Management & Reporting:

• Gather, organize, and analyze insurance-related data from multiple sources.
• Prepare daily, weekly, monthly, and ad-hoc reports for different departments.
• Ensure data accuracy and integrity within the MIS system.
• Develop dashboards, charts, and presentations to support business decisions.

2. System & Process Management:

• Maintain and update MIS databases, including policyholder records, claims, and premium data.
• Automate report generation using Excel (Advanced), SQL, Power BI, or other relevant tools.
• Identify process inefficiencies and recommend improvements for better operations.

3. Coordination & Communication:

• Collaborate with underwriting, claims, finance, and sales teams to provide required reports.
• Coordinate with IT teams for system enhancements or troubleshooting MIS-related issues.
• Assist management in strategic planning by delivering data-driven insights.

4. Compliance & Documentation:

• Ensure compliance with company policies and regulatory guidelines while handling data.
• Maintain proper documentation of reports, data sources, and analysis methods.
• Support audits by providing necessary data and documentation.

Required Skills & Qualifications:

• Bachelor's degree in Business Administration, IT, Statistics, or a related field.
• 2-5 years of experience in MIS reporting, preferably in the insurance or financial sector.
• Proficiency in MS Excel (VLOOKUP, Pivot Tables, Macros), SQL, and Power BI.
• Knowledge of insurance products, claims processing, and policy administration is a plus.
• Strong analytical, problem-solving, and communication skills.
• Ability to work with large datasets and derive meaningful insights.