Project Coordinator-Monitoring, Evaluation, Evidence and Learning (MEEL) 36 views0 applications

ORGANIZATIONAL BACKGROUND:

CARE is a leading humanitarian organization dedicated to fighting poverty and social injustice and places a particular emphasis on women and girls, their dignity and empowerment to lead their communities out of poverty. In 2020, CARE worked in 104 countries, reaching 90 million people through more than 1,300 programs, with an annual budget of $650 million. Every single one of those 90 million people has a story of resilience, community, strength, and hope—all things that bind us together, across every corner of the globe.

CARE began working in Tanzania in April 1994, in response to the crisis in Rwanda and the subsequent influx of refugees into the Kagera Region of North-western Tanzania. Over the subsequent years, CARE Tanzania developed innovative education, health, microfinance, and environmental programs across most regions of the country. In Tanzania CARE works with the Government both in mainland and Zanzibar and other stakeholders to transform communities and ensure financial inclusion and independence, health and nutrition, climate-smart development resilience, especially for women and girls.

CARE Tanzania seeks to recruit a self-motivated, results driven, dynamic, suitably qualified, competent and dedicated Tanzanian to fill the position of Project Coordinator-Monitoring, Evaluation, Evidence and Learning (MEEL) to be based in Korogwe-Tanga.

JOB SUMMARY

CARE Tanzania in collaboration with KAZI YETU and Tanzania Smallholder Tea Development Agency (TASHTDA) aims to support women farmers, to acquire knowledge, access, and control of productive resources for increased productivity, income, and autonomy, to leverage the accumulated capital and revolving credit held by VSLAs. Improving productivity requires capital to access agricultural inputs, technologies, tools, machines and for farm management and all these have been the major struggle of the farmers to support their investment. CARE will apply an innovative Collective Investment Model, whereby VSLAs will mobilize and pull together capital and utilize different platforms to incentivize women famers to invest and leverage their own capital to address key constraints, increasing market access and potential for women own agri-business. CARE’s VSLA approach is supported by Chomoka, an innovative digital platform that was launched in Tanzania

Her Money, Her Life project is hiring an Project Coordinator-Monitoring, Evaluation, Evidence and Learning (MEEL) to support the project teams on effective monitoring, evaluation, and reporting on the projects delivery as well as promote learning and adaptive management process for the project. The MEEL Coordinator will work closely with HMHL project, Kazi Yetu project implementation partner and MEEL team to develop MEEL tools for HMHL project. S/he will be responsible for developing, testing, training and implementing a variety of data collection and management approaches, including through mobile data collection tools. S/he will support and ensure that Alliance technical staff, partners, community beneficiaries and other stakeholders provide timely, accurate and reliable qualitative and quantitative data and analysis to the project. S/he will review, verify, compile and analyse HMHL project results for adaptive management, lessons learned, success stories, donor reports and other communications materials, such as learning briefs and presentations.

The positions will report directly to the Senior Project Manager for “Her Money Her Life” project.

KEY RESPONSIBILITIES

• Provide technical support to HMHL project staff, partners and other relevant stakeholders to ensure robust MEEL implementation in line with project MEEL frameworks and systems..
• Conduct routine monitoring of the project progress to ensure relevant data are reliably/accurately collected and appropriately documented.
• Work with project staff to design and implement program monitoring and evaluation tasks, including baseline survey, Internal outcome monitoring, mid-term reviews, final evaluation, and specific studies for the project.
• Report through CARE’s Reporting systems, ensuring compliance with donor reporting requirements.
• Facilitate Mid-Year review, annual reflections and community reflection meetings with technical team and other stakeholders to share project progress, challenges, capture lessons learned and identify areas for improvement and adaptive management.
• Carry out on annual basis internal Data Quality Assessment as per standards to identify the major strength and weakness of HMHL MEEL system for improvement.
• Work with the project team to ensure CARE-Kazi Yetu feedback and grievance mechanisms are in place and communicated in an integrated way to beneficiaries to support CARE’s accountability to communities.
• Carry out regular field visits to the project sites for data collection, review, and verification when required.

EDUCATION QUALIFICATIONS:

• A minimum of bachelor’s degree from a recognized university in Project Planning and Management, Agriculture/Agri-business Economics, Statistics, Social Sciences/Development Studies or similar field, A Master’s degree will be an added advantage.

EXPERIENCE AND SKILLS

• At least 4-6 years’ experience in data collection and data entry and management
• Good experience in data collection, analysis and reporting are fundamental.
• Experience in data quality assurance review and verification, data analysis, and reporting
• Previous working experience in project monitoring and evaluation, ideally for non-governmental organizations engaged in Agriculture, specifically Tea Value Chain or related.
• Experience in designing and carrying out qualitative and quantitative research (instrument and sampling design, carrying out household surveys, conducting interviews, focus group discussion)

TECHNICAL COMPETENCIES

• Strong knowledge of computer programs, with familiarity in using Microsoft Office suite applications (particularly Word, PowerPoint, and Excel), use of mobile data collection software like ODK, statistical packages tools for both qualitative and quantitative data like SPSS, Anova, Stata etc.
• Ability to write reports, effectively present information, and prepare presentations.
• Excellent communication and facilitation skills, including native Kiswahili and strong English language skills.
• Ability to organize and conduct training in relevant disciplines.
• Strong analytical skills, including analysis of both quantitative and qualitative data in programs with experience in application of statistical packages.
• Excellent organizational and time management skills required to meet deadlines.
• Ability to work independently and collaborate as part of a team.
• Willing to travel extensively within areas of operations and outside areas of operations as required.