Key Responsibilities:
1. Data Collection and Analysis:
- Gather data from various sources, ensuring its accuracy and relevance.
- Utilize AI tools and techniques to enhance data analysis processes.
- Analyze data to identify trends, patterns, and insights that support business decisions.
2. Reporting:
- Generate regular and ad-hoc reports for management and other departments.
- Present data findings in a clear and concise manner using visual aids and dashboards.
- Continuously improve reporting processes by integrating AI-driven solutions.
3. Database Management:
- Maintain and update databases to ensure data integrity and accuracy.
- Implement AI solutions to streamline data management processes.
- Ensure data security and compliance with company policies and regulations.
4. Collaboration:
- Work closely with various departments to understand their data needs and provide tailored solutions.
- Collaborate with IT and other teams to implement AI-driven improvements in data handling and reporting.
- Provide training and support to team members on data analysis tools and techniques.
5. Process Improvement:
- Identify opportunities to automate and enhance data collection and reporting processes using AI.
- Stay updated with the latest AI trends and technologies to continuously improve the MIS function.
Qualifications:•
- Education: Bachelor's degree in Information Technology, Computer Science, Data Science, or a related field.
- Experience:
- Proven experience as an MIS Executive or similar role.
- Experience with AI tools and techniques in data analysis and reporting.
- Technical Skills:
- Proficiency in data analysis tools such as Excel, SQL, and BI software.
- Familiarity with AI and machine learning tools and platforms.
- Strong understanding of database management and data security principles.
- Having knowledge of JAVA , JAVASCRIPT
- Soft Skills:
- Excellent analytical and problem-solving abilities.
- Strong communication and presentation skills.
- Ability to work collaboratively in a team environment.
- Attention to detail and a commitment to data accuracy.