Mis Executive

Job Description

Job Summary: The MIS Executive is responsible for managing and analyzing data, generating reports, and ensuring smooth operations of the Management Information System. This role involves working with databases, preparing dashboards, and supporting decision-making through data-driven insights. Key Responsibilities: Data Management: Maintain and update databases, ensuring data accuracy and integrity. Report Generation: Create daily, weekly, and monthly reports using Excel, SQL, Power BI, or other tools. Data Analysis: Analyze trends and patterns in data to support business decisions. Automation: Develop macros, scripts, and automation tools to improve data processing efficiency. System Management: Assist in managing MIS software and troubleshoot system-related issues. Coordination: Work with different departments to gather data and provide analytical support. Compliance & Security: Ensure that data management practices adhere to company policies and data protection laws. Process Improvement: Identify opportunities to enhance data reporting processes. Key Skills & Qualifications: Educational Qualification: Bachelors degree in IT, Computer Science, Business Administration, or a related field. Technical Skills: Advanced knowledge of MS Excel (VLOOKUP, Pivot Tables, Macros). Familiarity with SQL, Power BI, Tableau, or other BI tools . Basic knowledge of ERP systems, CRM, or database management . Analytical & Problem-Solving Skills: Ability to interpret data and provide actionable insights. Communication Skills: Strong written and verbal communication for reporting and collaboration. Attention to Detail: High accuracy in data management and report generation. Preferred Qualifications: Experience in an MIS or data analysis role. Knowledge of programming languages (Python, R) is a plus. Experience with automation tools (Power Automate, VBA, etc.). Salary & Benefits: Competitive salary based on experience. Health insurance, paid leave, and other company benefits. Career growth opportunities in data analytics and business intelligence.