Monitoring, Evaluation, Research & Learning Officer (maternity leave cover)

Camfed International; Cambridge; Hybrid; GBP 28,000 - 34,000; Full time

Job summary

CAMFED International is seeking a Monitoring, Evaluation and Learning Officer on maternity cover in Cambridge, adopting a hybrid work pattern. The role supports data collection, analysis, and reporting to donors, government partners and CAMFED teams.

The role requires strong Excel skills, data management experience, and familiarity with Salesforce. UK right-to-work is essential for the contract duration.

Qualifications

• Proven ability in monitoring, evaluation, research, surveys and data analysis.
• Strong numerical and analytical skills.
• Excellent Excel proficiency and data management. Experience with SPSS desirable.

Responsibilities

• Provide support as link between National Office and UK MERL team.
• Run Salesforce reports and assist data entry, quality control and analysis.
• Contribute to proposals by aligning objectives with indicators and budgets.
• Support monitoring by updating forms and sharing data for analysis.
• Assist in evaluating CAMFED programmes and communicating findings.

Skills

Data analysis

Monitoring & Evaluation

Advanced Excel

Team collaboration

Communication

Tools

Salesforce

SPSS

Job description

Job Title: Monitoring, Evaluation, Research & Learning Officer (maternity leave cover)

Location: Cambridge, UK (Hybrid)

Hours: Full-time (Monday- Friday, 37.5 hrs per week) with options for flexible working

Salary: Officer Level 7, step 1 - £30,987 pa

Contract: Full-time, Fixed-term maternity cover for up to 15 months

Start Date: On or before December 1st 2026

Reporting to: Monitoring, Evaluation, Research & Learning Senior Manager

Eligibility & Right to Work: Please note we do not hold a Home Office Sponsor Licence and are unable to provide visa sponsorship. Therefore, we can only accept applications from candidates who possess the independent Right to Work in the UK for the full duration of the contract.

Who we are

CAMFED (Campaign for Female Education) is an international non-profit organisation tackling poverty and inequality by supporting marginalised girls to go to school and succeed, and catalyse the power of young women to step up as leaders of change. This is a truly exciting time to join CAMFED’s team as we head into the next phase of our strategic plan. Alongside our alumnae network of over 355,000 young women, who are now at the helm of our movement, CAMFED is on track to profoundly impact the lives of generations of girls and young women across sub-Saharan Africa over the next decade. Watch our CEO, Angeline Murimirwa, share CAMFED’s vision for 2030 through her recent TED talk.

About Monitoring, Evaluation, Research and Learning (MERL)

The Monitoring, Evaluation, Research and Learning (MERL) Team tracks and measures the impact of CAMFED’s work through rigorous monitoring, surveys and in-depth research, carefully documenting and celebrating the impact of our programmes and identifying key opportunities for learning. Our approach to learning, measurement and evaluation is grounded in strong data platforms and powered by stakeholder engagement, allowing us to track our impact and outcomes at both the individual and systems level.

What’s the role?

This role will support the work of the CAMFED International Monitoring, Evaluation, Research & Learning (MERL) Team in providing quality, timely, accurate data to programme, donor, government, and other stakeholders. This role will involve the provision of technical support to CAMFED national office MERL teams, managing information from CAMFED’s programmes and from external sources, analysing this information to communicate externally as well as to provide data for programmatic learning and acting as a country lead within the CAMFED International MERL team.

Specific Accountabilities

• To provide support to one of the CAMFED MERL teams, acting as a link person between colleagues in the National Office, and the UK MERL team. This support will involve:
  • Contribute to the stewardship of CAMFED donors through the provision and coordination of technical support, including input into regular narrative reports, calculating logframe indicators, data collection and analysis, Salesforce support, working closely with relevant grant managers.
  • Support with the Salesforce programme database: run reports and provide support to International, Regional and National office staff in entering, uploading, quality control, using and analysing programme data in Salesforce.
  • Provide input to proposals in matching proposed objectives and activities with appropriate indicators, monitoring and evaluation activities and associated budgets and ensuring proposed monitoring activities align effectively with CAMFED’s wider programme and existing activities, working closely with the proposal lead and National Office MERL teams.
  • Support the monitoring of the CAMFED programme: including supporting with updating and creating monitoring forms and supporting National Office MERL Teams to analyse, share and present routine monitoring data.
  • Support the analysis of programme information and ensure that issues are brought to the attention of managers.
• Contribute to the analysis and write up of quantitative and qualitative data for programmatic, research and reporting purposes, and to support the presentation and communication of CAMFED’s work.
• Support the accurate and timely collation of CAMFED’s Key Performance Indicators (KPIs) and their communication.
• Provide technical, analysis and coordination support in the evaluation of CAMFED’s programmes and research activities, working closely with the Evaluation and Learning Advisor.
• Other duties as required by the Head of MERL or MERL Managers.

Person Specification

Essential Skills and qualities:

• Demonstrable commitment to education, social justice and gender equity, with an understanding of ethical and inclusive approaches to monitoring, evaluation and research.
• Proven ability in monitoring, evaluation, research, surveys and/or data analysis, with strong numerical and analytical skills.
• Strong proficiency in Microsoft Excel, with the ability to organise, analyse and present data accurately and effectively. Experience in database management, SPSS and statistical methods desirable.
• Good understanding of data quality and management, including data collection, cleaning, validation and accurate record keeping.
• Highly organised, proactive and able to manage multiple priorities, meet deadlines and work independently.
• Excellent attention to detail, with a systematic approach to problem-solving and delivering high-quality work.
• Collaborative and proactive, with the ability to contribute positively to a team, share and delegate work, take initiative and develop practical solutions to challenges.
• Excellent written and verbal communication skills, with the ability to work effectively and collaboratively within a team.
• Ability to research, analyse, synthesise and communicate information clearly, translating evidence into useful insights and learning.
• Eligibility to work in the UK.

CAMFED Values

The post holder is expected to live the CAMFED values which are:

• Focus on the girl as client
• Partner with the Community
• Be transparent and accountable

Equality, Diversity and Inclusion at CAMFED

CAMFED is an equal opportunity employer, committed to creating an inclusive environment for all employees. We welcome applicants from diverse backgrounds, including those from marginalised communities.

All official communication pertaining to job applications and interviews will be exclusively conducted through CAMFED's official channels. These can be found on our website http://www.camfed.org. CAMFED will never request applicants to pay a processing fee or to provide personal or financial information for recruitment purposes.

CAMFED has a zero-tolerance approach to sexual exploitation, abuse, discrimination and harassment in all forms. All applicants will, therefore, be subject to a comprehensive verification process, which includes background and reference checks, as well as verification of qualifications.