Monitoring and Evaluation Assistant CV Example
A monitoring and evaluation assistant CV highlights your ability to track programme performance, collect data, and support evidence-based decision-making.
Recommended template: ProfessionalPro
Key Skills to Include
Quick Tips
- Include experience with M&E frameworks such as logframes or theories of change.
- Highlight proficiency with data tools such as Excel, SPSS, or KoboToolbox.
- Detail fieldwork experience including data collection in challenging settings.
- Showcase your ability to produce clear reports and data visualisations for stakeholders.
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Upgrade to ProHow to Write Your Monitoring and Evaluation Assistant CV
A monitoring and evaluation assistant CV should demonstrate your ability to collect, manage, and analyse data that supports evidence-based programme management. Employers in the development, charity, and public sectors want M&E assistants who are detail-oriented, technically competent with data tools, and able to produce clear reports for diverse audiences. Your CV should highlight your data collection experience, analytical skills, and understanding of M&E frameworks.
CV Structure
Use a reverse-chronological format with sections for your profile, experience, education, technical skills, and languages. Each role should describe the organisation, programme context, and your M&E responsibilities. Follow with achievements demonstrating data quality improvements or programme insights generated. Include a technical skills section listing software and M&E tools. Keep the CV to one or two pages.
CV Format
Choose a clean, professional template. M&E roles require precision, so your CV formatting should reflect this. Use consistent bullet points and date formats. Include links to any publicly available reports or dashboards you have produced. Save as a PDF.
CV Profile Examples
Experienced M&E Assistant
Monitoring and evaluation assistant with three years of experience supporting programme M&E for international development organisations in East Africa. Proficient in designing data collection tools using KoboToolbox and ODK, conducting field surveys, and analysing data in Excel and SPSS. Experienced in contributing to logframe reporting, beneficiary feedback mechanisms, and donor-compliant data management systems.
M&E Assistant — Domestic Programmes
Monitoring and evaluation assistant supporting a portfolio of UK community development programmes for a national charitable foundation. Skilled in survey design using Qualtrics, qualitative data collection through focus groups and interviews, and producing quarterly performance reports for programme managers and trustees. Committed to using evidence to improve programme design and demonstrate impact to funders.
Graduate M&E Assistant
Development studies graduate with practical M&E experience gained through a six-month internship with an international NGO in Kenya. Competent in mobile data collection, basic statistical analysis, and report writing. Completed coursework in programme evaluation, research methods, and impact assessment. Seeking a full-time M&E assistant role to develop professional expertise in evidence-based programme management.
State your M&E experience, the types of programmes you have supported, and the data tools you use. Mention any fieldwork experience and your understanding of M&E frameworks such as logframes or theories of change.
Key Skills for Your Monitoring and Evaluation Assistant CV
Data Collection
Designing and implementing surveys, interviews, and observation tools to gather quantitative and qualitative programme data.
Survey Design
Creating structured questionnaires using platforms such as KoboToolbox, ODK, and Qualtrics for field and online data collection.
Database Management
Entering, cleaning, and managing programme data in databases and spreadsheets to ensure accuracy and accessibility.
Statistical Analysis
Performing basic statistical analysis using Excel, SPSS, or R to summarise programme data and identify trends.
Report Writing
Producing clear monitoring reports, donor updates, and data summaries that communicate programme performance to stakeholders.
Logical Frameworks
Contributing to the development and updating of logframes and results frameworks that track programme inputs, outputs, outcomes, and impact.
Excel
Using advanced Excel functions including pivot tables, VLOOKUP, conditional formatting, and charts for data management and analysis.
Qualitative Research
Conducting focus groups, interviews, and thematic analysis to capture beneficiary perspectives and contextual programme insights.
Work Experience Examples
Describe the programme context, the M&E activities you performed, and the outputs produced. Mention specific tools — KoboToolbox, SPSS, Excel — and the types of data you collected and analysed. Include achievements that show how your work improved data quality, informed programme decisions, or supported successful donor reporting.
Monitoring and Evaluation Assistant
Plan International, Uganda
Supported M&E activities across a portfolio of child protection, education, and livelihoods programmes funded by NORAD, EU, and UK Aid Direct.
Responsibilities
- Designed and programmed data collection tools using KoboToolbox for baseline, midline, and endline surveys across four programme areas.
- Trained and supervised enumerator teams, ensuring adherence to data collection protocols, ethical guidelines, and quality standards.
- Cleaned, coded, and analysed quantitative survey data using Excel and SPSS, producing descriptive statistics and cross-tabulations for programme reports.
- Conducted focus group discussions and key informant interviews, transcribing and coding data for qualitative analysis.
- Contributed to quarterly and annual donor reports, compiling indicator data, progress narratives, and case studies from field teams.
Achievements
- Designed a beneficiary feedback mechanism using SMS-based surveys that increased response rates from 25% to 65%, providing more representative data for programme decision-making.
- Produced a data quality audit report that identified systematic errors in enumerator data entry, leading to targeted retraining that improved data accuracy by 40%.
- Contributed M&E analysis to a midterm evaluation that resulted in programme design adjustments, improving school enrolment outcomes in the education programme by 15%.
Programme Data Assistant
The Big Lottery Fund (now National Lottery Community Fund), Birmingham
Supported the monitoring and evaluation of a portfolio of community-based programmes funded across the West Midlands region.
Responsibilities
- Collected and entered programme monitoring data from funded organisations into the central grants management database.
- Reviewed quarterly progress reports submitted by grant holders, checking data quality and following up on missing or inconsistent information.
- Produced portfolio-level summary reports for programme managers, highlighting trends in output delivery and outcome achievement.
- Assisted with the organisation of learning events and evaluation workshops for funded partners.
Achievements
- Improved the timeliness of quarterly data submissions from 70% to 95% on time through implementing automated reminders and simplified reporting templates.
- Created a portfolio dashboard in Excel that enabled programme managers to visualise performance trends at a glance, adopted across the regional team.
Education & Qualifications
List your degree in development studies, social science, statistics, or a related field. Include M&E-specific training such as INTRAC courses, PMD Pro, or research methods modules. Mention software-specific training and any field research experience from your studies.
BSc / MSc in Development Studies or Social Science
Degree qualification providing research methods, programme evaluation, and development theory relevant to M&E roles.
PMD Pro (Project Management for Development)
Certification in development project management providing a framework for planning, monitoring, and evaluating programmes.
INTRAC M&E Training
Specialist monitoring and evaluation training from a leading provider, covering frameworks, indicators, and participatory methods.
Excel / SPSS Certification
Software-specific training demonstrating competence in data analysis tools commonly used in M&E practice.
Frequently Asked Questions
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