Assistant Manager - Bancassurance MIS and Database

• Database Management & System Development

  • Manage and integrate data from multiple systems (e.g., RLS, AS400, RCMS).
  • Design, develop, and maintain databases, dashboards, and reporting systems.
  • Oversee ETL processes to ensure accurate and efficient data flow.
  • Ensure database accuracy, security, and integrity, including backup procedures.
  • Support and enhance internal systems aligned with business needs.
  • Coordinate with IT and technical teams to deliver system improvements.
  • Perform system testing, troubleshooting, and continuous enhancements.

• MIS Reporting & Business Analysis

  • Develop and maintain daily/weekly/monthly MIS reports and dashboards.
  • Translate business requirements into reporting solutions.
  • Support sales teams with campaign tracking (upsell, cross-sell, retention).
  • Analyze performance data and provide actionable insights.
  • Create user-friendly reporting tools using platforms such as Power BI and SharePoint.
  • Conduct training to ensure effective report utilization.

• Business Opportunity & Project Management

  • Monitor campaign performance, lead generation, and conversion rates.
  • Provide insights for customer segmentation and targeting strategies.
  • Support sales initiatives to improve productivity and performance.
  • Participate in system and project development (e.g., incentive schemes, campaigns).
  • Continuously evaluate system performance and recommend improvements.

Qualifications:

• Bachelor’s degree in IT, Computer Science, Data Analytics or related fields
• At least 3 years of experience in MIS, database management, or data analytics (insurance/bancassurance preferred)
• Strong knowledge of database systems, SQL, and data processing
• Hands-on experience with SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS)
• Proficiency in Excel for reporting and data analysis (advanced level)
• Experience with Power BI for dashboard development (advantage)
• Knowledge of Python for data analytics (advantage)
• Familiarity with ETL processes and system development lifecycle
• Strong analytical, problem-solving, and communication skills
• Ability to work with cross-functional teams and manage multiple priorities