MIS & IT Expert

Qualification and Experience- Masters/ M. Tech/ MCA in relevant field with over 10 years of experience in livelihood or social sector. - Proficiency in data management, quantitative and qualitative analysis. - Experience with data visualization and dashboarding tools (e.g., Power BI, Excel). - Must have professional experience of AI for data analytics - Familiarity with survey platforms and data analysis software is often beneficial. - Knowledge of MEL frameworks such as log frames, results frameworks, and theory of change. - Experience in the development sector, particularly with livelihood programs, agriculture, or relevant community-based initiatives. - Strong communication (written and verbal) and interpersonal skills to collaborate with diverse teams. - Strategic thinking and problem-solving skills to translate data into actionable recommendations. - Ability to build capacity and mentor teams on data-related tasks.Scope of Work- Develop and refine Monitoring, Evaluation, and Learning (MEL) frameworks and systems to align with objective of projects in north eastern states. - Design data collection methodologies, tools, and data management systems to capture project activities and results. - Integrate MEL into the entire project lifecycle, from design to evaluation and learning. - Ensure the quality, integrity, completeness, and recency of data collected through various sources. - Implement robust data pipelines and processes for data cleaning, management, and storage. - Conduct quantitative and qualitative data analysis to identify trends, measure impact, and derive actionable insights. - Produce performance reports, impact assessments, and narrative summaries for program staff, management, and external stakeholders. - Develop and maintain dashboards and scorecards to visualize key performance indicators. - Provide technical support for database development, data transfer, and the use of digital monitoring tools. - Stay updated on innovative data tools and global best practices and recommend their contextual application. - Collaborate with IT and GIS specialists on database development, data uploading, and map creation for visualizing productivity and resilience. - Build the capacity of project and partner teams through training, workshops, and coaching on MEL principles and tools. - Facilitate learning reviews and reflection sessions to share lessons learned and promote adaptive management.

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