About this role
KEY AREAS OF ACCOUNTABILITY:
Overall functions:
• Support the implementation of the SCI MEAL in Emergencies (MiE) Procedure and MiE System Quality Benchmarks, monitoring system/framework to report activities according to appropriate framework(s); • Develop standard monitoring tools in collaboration with Monitoring, Evaluation and Accountability Coordinator and programme staff; • Establish data flow mechanisms on standard tools including data collection, storage, analysis, interpretation and timely feedback to the intended stakeholders in collaboration with program staff; • Lead on conducting ongoing monitoring activities for reporting on projects’ outputs and outcomes as per projects’ frameworks in coordination with area office MEAL team; • Conduct regular field monitoring visits and provide structured feedback and recommendations to programme teams and relevant technical advisors, as well as partners. • Assist in designing and implementing qualitative and quantitative assessments as appropriate; • Provide training and capacity building to team members and partners whenever needed; • Undertake data quality assurance in the areas of operation, identifying sources of errors and inconsistencies and providing feedback that would help in data improvement; • Assist in capturing relevant learning associated with the response activities.
Partnership:
• Liaise with partners to establish ways of working, build trust and ensure relationships based on the SCI localization principles; • Ensure that partners understand key concepts, steps and tools for the MEAL system and that these are used consistently across projects; • Ensure partner staff have the technical capacity to implement MEAL systems according to SC’s and international standards and supervise their application. • Provide mentorship to partner MEAL staff to position MEAL as a key function within the organization; • Provide management/leadership and technical support to partners and response staff in specified field sites to ensure that the MEAL system is operational in all areas; • Foster an organisational culture that embraces MEAL and understands its link to quality, adaptive and accountable programming at the field level.
SKILLS AND BEHAVIOURS (SCI Values in Practice)
Accountability:
• Holds self accountable for making decisions, managing resources efficiently, achieving and role modelling Save the Children values • Holds the team and partners accountable to deliver on their responsibilities - giving them the freedom to deliver in the best way they see fit, providing the necessary development to improve performance and applying appropriate consequences when results are not achieved
Ambition:
• Sets ambitious and challenging goals for themselves (and their team), takes responsibility for their own personal development and encourages others to do the same • Widely shares their personal vision for Save the Children, engages and motivates others • Future orientated, thinks strategically
Collaboration:
• Builds and maintains effective relationships, with their team, colleagues, members and external partners and supporters • Values diversity, sees it as a source of competitive strength • Approachable, good listener, easy to talk to
Creativity:
• Develops and encourages new and innovative solutions • Willing to take disciplined risks
Integrity:
• Honest, encourages openness and transparency.
QUALIFICATIONS
• Bachelor’s degree in Economics, Statistics, and/or Development or relevant Social Studies. • Fluency in written and spoken Ukrainian, Russian and, ideally, English.
EXPERIENCE AND SKILLS
Essential
• At least 1 years of experience in Monitoring and Evaluation of programs or relevant experience. • Prior experience working with partners. • Experience in Excel. • Familiarity and comprehension with database designs and management. • Good level of computer proficiency and ability to use SPSS and MS-Office. • Demonstrated report writing skills. • Strong communication skills. • Ability to meet deadlines.
Desirable
• Experience in Power BI, ODK, GIS • Experience in data collection, data management, and analysis is highly desirable.