MIS Analyst Manager

Role & responsibilities

Key Responsibilities:

1. Team Leadership & Management:
• Lead and manage a team of MIS analysts, providing guidance and support.
• Conduct performance reviews, provide training, and ensure the development of team members.
• Assign and prioritize tasks to the MIS team, ensuring deadlines are met.
2. MIS Strategy & Development:
• Develop and implement strategies for collecting, analyzing, and interpreting data across various departments (e.g., operations, sales, HR, finance).
• Oversee the design, development, and enhancement of internal MIS systems to meet evolving business needs.
• Collaborate with senior management to define KPIs (Key Performance Indicators) and metrics for monitoring business performance.
3. Data Analysis & Reporting:
• Analyze operational, sales, and financial data to provide actionable insights to leadership.
• Design and generate regular and ad-hoc reports related to sales performance, customer behavior, and operational efficiency.
• Develop dashboards and data visualizations for executives and department heads to aid decision-making.
4. System Management & Optimization:
• Oversee the maintenance, updates, and troubleshooting of MIS systems (e.g., POS systems, inventory management, reservations).
• Collaborate with IT teams to ensure seamless integration of MIS with other business applications and systems.
• Ensure the security and integrity of the data by managing access controls and performing regular system audits.
5. Budgeting & Financial Oversight:
• Prepare and manage budgets for MIS systems and projects.
• Conduct cost-benefit analysis to assess potential system investments or upgrades.
6. Cross-Departmental Collaboration:
• Work with other departments such as Marketing, HR, Finance, and Operations to understand their data needs and ensure the availability of relevant and accurate data.
• Support management in strategic planning through data-driven insights.
7. Compliance & Data Governance:
• Ensure that all MIS systems and processes comply with relevant data privacy regulations (e.g., GDPR).
• Maintain data governance best practices for quality, security, and accessibility.