Monitoring and Evaluation Advisor (Household Surveys and Humanitarian Needs Assessments) At UNOPS

Under the overall supervision of the UNOPS/LIFT Fund Director, the direct supervision of the LIFT M&E team lead, and in accordance with UNOPS policies, procedures and practices, the M&E Advisor will perform the following tasks:

1. Prepare comprehensive study designs and methodology – Relating to household surveys and rapid assessments that may be commissioned from time to time at different levels of the LIFT program. Granted the prevailing context in Myanmar, study designs and methodologies must incorporate conflict sensitivity considerations.
2. Prepare/Adapt context appropriate tools for data collection. In light of the prevailing context, LIFT anticipates that most of the surveys would be undertaken through mobile phone platforms. The M&E advisor would be expected to adapt or design tools that can be efficiently administered through the phone platform.
3. Data Management – Train survey firms and provide overall guidance on the key data management processes including – correct cleaning, coding, labelling, de-identification, and encryption of survey data including correct use and application of unique id numbers and how to correctly link respondents across survey components and, for panel data, across years. Where needed be responsible for correctly linking datasets and creating panel datasets
4. Instruct survey firm(s) on how to maintain version control, document procedures used for cleaning, coding, labelling, de-identification, and encryption of survey data, and development of a codebook and/or dataset guidance note.
5. Using the cleaned dataset, construct variables needed for calculating and reporting on LIFT logframe indicators following the approach described in LIFT indicator references sheets.
6. Assist LIFT in logframe indicator calculation and reporting as may be requested from time to time
7. Assist LIFT in further calculations and additional data analysis as needed for reporting and research
8. Quality oversight- Act as quality control on all of the above and ensure high quality of final datasets and documentation
9. Promoting information sharing on the survey and assessment reports among stakeholders including LIFT Fund Board and FMO.
10. Designing qualitative assessments to provide complementary performance and context information pertaining to LIFT implementation areas
11. Training on Qualitative approaches – Develop appropriate guidance tools on qualitative approaches and provide training on the same to LIFT Implementation partners
12. Provide the necessary oversight during the data collection process
13. Reporting – Drafting of survey and assessment reports to publishable standards.
14. Third Party Monitoring systems and tools – Develop appropriate third party monitoring guidelines and tools and provide appropriate trainings to LIFT stakeholders in execution of the same.
15. Providing technical assistance and capacity development to implementing partners to ensure participation in the Programme’s MEL processes and an adequate flow of information and data.

The incumbent will be responsible to abide by security policies, administrative instructions, plans and procedures of the UN Security Management System and those of UNOPS.

Education/Experience/Language requirements

Education

• A Master’s degree in econometrics, economics, statistics, or similar subject matter is required. PhD preferred but not required.
• A First-Level University Degree (Bachelor’s) in combination with 2 years of significant relevant professional experience may be accepted in lieu of the advanced university degree.

Technical Experience/Other essential qualifications

• At least seven years’ experience of working with survey data including practical experience of overseeing and carrying out data cleaning, coding, and survey weighting is required.
• Strong econometric skills and broad experience undertaking econometric analysis of survey data from developing countries, including construction of complex composite indices and calculation of consumption expenditure for poverty measurement is highly preferred.
• Previous experience in humanitarian response to emergencies, needs assessment, baseline and end line studies would be an asset.
• End-line design and reporting is an asset.
• Strong STATA, SPSS, SAS or R programming skills are highly desirable.
• Familiarity with survey research literature, methods, and processes are highly desirable.
• Experience in designing large scale surveys for livelihoods, agriculture, and nutrition and food security programs would be an asset.
• Experience in training would be an asset.
• Experience with the M&E of multi-donor trust – funds is desired.
• Knowledge of the political, economic and social situation in Myanmar is desirable
• Willingness to undertake regular field visits in difficult conditions is required.
• Computer literacy in office software packages is required and SPSS is an asset.

Language

• Fluency in both written and spoken English is essential.