Full TimeENAsia/Pacific
Location: New Delhi,None,None
SUMMARY
We are looking for a Monitoring, Evaluation, and Learning (MEL) Associate to design and implement research studies, develop MEL plans, and oversee field activities. The role involves data processing, analysis, dashboard creation, and reporting while ensuring data confidentiality and ethical compliance. Proficiency in tools like SurveyCTO or KoboCollect and the ability to support decision-making through actionable insights are essential.
ABOUT US
Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact.
We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation, USAID and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research.
In the Press:
Prepare survey instruments, protocols, analysis plans, training material(s) for implementation of various research studies
Lead, conduct and be responsible for field visits to oversee implementation of project activities (including scoping) and support for course correction
Lead data processing, cleaning, analysis, visualization and presentation.
Experience working with, managing and coding on web-based data collection applications such as SurveyCTO Or KoboCollect
Dashboard creation for said indicators and its daily maintenance to ensure display of correct statistics to assist senior team members to take key decisions on progress of project implementation activities
Support lead MEL in developing the overall MEL plan, log-frameworks, work plan etc. for various projects with guidance from the program management team.
Support lead MEL in developing research protocols and ensure approval from required Research Ethics Committee and local IRB (as required) ensuring protection of human subjects if applicable
Development of reports, presentations and templates for effective internal use and dissemination of reports at state & national levels
Function with utmost sensitivity towards data confidentiality and privacy
Perform duties as assigned by the supervisor from time to time.
Master’s Degree in development studies, demography, statistics, Agriculture stastistics or related subjects. Masters in Epidemiology or Statistics are preferred
A minimum of two years of post qualification M&E/Quantitative research experience and demonstrated history of practical skills in monitoring and evaluation of donor funded programs in Agriculture or social sector
At least two years of post qualification experience in supporting operations research protocols and conducting surveys and data collection.
Demonstrated experience in the data management including data cleaning, standardization, maintenance, collation, analysis and reporting
Experience in managing web based applications for data collection, seamless display of indicators on dashboard for real time monitoring
Experience in report writing and development of proposals for business development with a variety of domestic and international donors would be an asset.
High proficiency and experience with statistical software for analysis of large datasets (such as SPSS, STATA, R, Python or SAS). Knowledge of handling web based dashboarding applications like Tableau and GIS applications is desirable.
Proficient computer skills in Microsoft Office Suite applications, including Word, Excel, PowerPoint, and Outlook.
Special note - if the candidate applying for this position has no/ less prior experience in Agriculture, he/she has to convince the assessors about his/her learning ability and grasping power to prove suitability.
Clear understanding of monitoring and evaluation principles and practices
Thorough theoretical knowledge in principles of dataset management and analysis and ability to apply them as per context
Proven effectiveness while working in a team-based environment, but capable also of working independently
Excellent communication and interpersonal skills and ability to work effectively in a complex environment
Comfort with collaborating across all levels of leadership internally and externally
Skilled in successfully working with geographically dispersed teams and working in a multicultural environment.
Written and oral proficiency in English, and verbal communication skills in one or more local languages
Ability to travel as required