• Monitoring Project Progress: Keep track of project activities, timelines, and milestones to ensure they are being executed according to the plan.
• Data Collection: Gather relevant data and information from different sources, which might include field visits, surveys, interviews, and reports.
• Data Analysis: Analyse the collected data to identify trends, patterns, and insights that can inform decision-making and strategy adjustments.
• Performance Evaluation: Assess the effectiveness and efficiency of project activities to determine if they are achieving the desired outcomes.
• Report Creation: Prepare regular reports on the progress, achievements, challenges, and recommendations for improvement. These reports are often presented to management, stakeholders, donors, or the public.
• Documentation: Maintain accurate records and documentation related to project activities, data sources, and analysis methodologies.
• Quality Assurance: Ensure that data collection and analysis methods are rigorous and reliable, adhering to established standards and guidelines.
• Stakeholder Engagement: Collaborate with various stakeholders, including project teams, partners, and beneficiaries, to gather information and ensure transparency in reporting.
• Feedback Loop: Use the collected data and analysis to provide feedback to project teams, helping them make informed decisions and adjustments to their strategies.
• Risk Assessment: Identify potential risks and challenges that might affect project implementation and outcomes and suggest mitigation strategies.
• Capacity Building: Provide training and support to project staff or partners on monitoring and reporting practices.
• Adherence to Guidelines: Ensure that the monitoring and reporting practices align with the organization\'s and donor\'s requirements and guidelines.es.

Enter data accurately and efficiently into databases, spreadsheets, or other data management systems following established guidelines and procedures.
• Review and verify data for errors, discrepancies, and completeness, making necessary corrections or adjustments.
• Maintain data integrity by performing regular quality checks and validation procedures.
• Assist in data cleaning, data deduplication, and data standardization efforts.
• Collaborate with other team members to ensure timely and accurate data entry and updates.
• Monitor data entry processes and report any issues or anomalies to supervisors.
• Organize and file physical documents as needed to support data entry and recordkeeping.
• Respond to inquiries from colleagues or stakeholders regarding data-related matters.
•  Assist in preparing and generating reports, summaries, and data visualizations.
• Participate in training sessions to stay updated on data entry procedures and tools.
• Support the implementation and maintenance of data management best practices.
• Handle sensitive and confidential information with discretion.
• Adhere to data protection and privacy regulations. 

My role as a MIS Officer in the project was
 “To compile monthly malaria reports from 14 districts, verifying and punching it on the main database. Generating monthly data analysis highlighting affected areas which helps in taking timely response in order to overcome malaria outbreak. Using online software DHIS-2 for data validation. Prepare activity, monthly, quarterly and annual progress reports. The core purpose of the project is to reduce malaria from far flung areas of Baluchistan and to deliver free LLIN and Medicine to malaria affected”.
Conducting monitoring visits to malaria affected districts to review on hand data and cross check with the reported data.
Drafting and producing reports on the finding from monitoring visits.