MEARL Officer (Аналітик консолідованої інформації зі знанням англійської мови)

• Establish and maintain working and collaborative relationships with key stakeholders and other implementing staff, with the implementation of data collection and reporting as the focus.

• In coordination with program staff, MEARL unit and stakeholders, draft and prepare MEARL plans that include Data Collection Plan, Monitoring Plan, Data Management Plan, Analysis Plan.

• Daily/routinely monitor the progress of the program implementation. Develop strategies for assessing the quality of collected data for the indicators and manage tools and methods for assessing data quality for all indicators.

• Perform routine monitoring and coordinate routine data quality audits conducted in different sites, compile results at the level of a project and develop actions plans to implement corrective measure.

• Conduct data validation processes and work closely with technical teams to identify sources of potential errors make appropriate recommendations for continuous improvement.

• Provide support in developing baseline assessments and assess distribution of deliverables.

• Develop and use different qualitative and quantitate methods of data collection including structured/ semi-structured, key informant interviews, in-depth interviews, group discussions, focus group discussions and direct observations as an M&E tool.

• Develop specific, measurable, attainable, relevant, and timely (SMART) indicators and targets for the monthly reporting process. Ensure timely reporting of core, custom indicators, and cross cutting indicators on a monthly basis.

• Guide the documentation processes for the best practices and lessons learnt based on program approaches.

• During analysis, conduct and interpret statistical data for use in decision-making and synthesize quantitative and qualitative information for write-up/reports and decision making.

• MEARL procedures and operating plans for the Ukraine humanitarian response and develop harmonized data collection tools.

• Create, implement, and provide training on necessary monitoring and evaluation templates and databases, including DHIS2 system-based data collection.

• Develop and conduct training on M&E tools and methodologies, mobile data collection procedures, database management, accountability mechanisms, and related topics for, program staff, and staff within Project HOPE's partner agencies.

• Provide mentoring to colleagues as needed (e.g., on baseline / indicator / target / results concepts) to improve skills of the staff in MEARL.

• Ensure that data analytics and slides are produced for effective communication and dissemination of results to all stakeholders including Donors- contribute to information usage for program management, decision making and for data review meetings.

• Support the development, implementation, and analysis of community feedback mechanisms, and write recommendations based on the findings to improve accountability to the beneficiary population and adjust program objectives as necessary.

• Analyze assessment data based on the analysis plan, produce statistics and charts, and ensure the results feed meaningfully into program design and implementation plans to facilitate evidence-based programming.

• Develop and monitor BHA Program databases and ensure that assistance to beneficiaries is timely tracked and information is appropriately shared with the Program Director and other key staff. Also, share appropriate information with other NGOS operating in the same geographical areas to develop synergies, avoid duplication, and maximize outreach and coverage of affected populations.

• Other duties as assigned.

• 3 years of experience with designing, implementing, and overseeing monitoring and evaluation tasks is required.

• Experience working with data collection methodologies (sampling strategies, qualitative coding, etc).

• Familiarity with assessment strategies throughout the project (baseline, semi-annual, etc.).

• Experience in communication with a high volume of diverse stakeholders.

• Experience in providing monitoring and evaluation support and data analysis.

• Experience in database design of information tools and use of qualitative and quantitative software for data analysis.

• Experience with the implementation and analysis of community-based feedback mechanisms and participatory assessments.

Rabota