MIS Executive

Overview:

Key Responsibilities:

• Collecting organizing and interpreting data to generate reports dashboards and presentations.
• Developing and maintaining databases and data systems.
• Analyzing complex data sets to identify trends patterns and correlations.
• Preparing and presenting reports on key performance indicators and other relevant metrics.
• Implementing and maintaining data quality and security measures.
• Generating adhoc reports as and when required by management.
• Supporting departments with datarelated queries and providing technical assistance.
• Identifying and addressing data discrepancies and errors.
• Performing data validation and reconciliation tasks.
• Collaborating with IT teams to optimize database systems and data processes.
• Providing insights and recommendations based on data analysis to support decisionmaking.
• Ensuring compliance with data privacy regulations and best practices.
• Participating in the implementation of new MIS tools and technologies.
• Training staff on data collection and reporting best practices.
• Creating and maintaining documentation for data processes and procedures.

Required Qualifications:

• Bachelors degree in Business Administration Computer Science or a related field.
• Proven experience in data analysis and reporting.
• Proficiency in database management and SQL.
• Strong analytical and problemsolving skills.
• Excellent communication and presentation abilities.
• Advanced proficiency in MS Excel Access and other data manipulation tools.
• Understanding of data privacy regulations and best practices.
• Ability to work collaboratively in a team environment.
• Experience with MIS software and tools is preferred.
• Ability to handle confidential and sensitive information with integrity.
• Knowledge of business intelligence and data visualization tools.
• Detailoriented with a high level of accuracy and attention to detail.
• Ability to prioritize tasks and manage time effectively.
• Continuous learning and adaptability to new technologies and methodologies.
• Experience in training and supporting staff on datarelated processes and tools.

data analysis,reporting,database management,communication,data