About Evidence Action
At Evidence Action, we deliver data-driven interventions that transform lives at an unprecedented scale. We identify neglected global health issues and deploy proven solutions, forging healthier futures for generations.
Our model operationalizes leading academic research, including from Nobel-winning economists. We measure progress and outcomes at every stage to ensure we are making a real impact for people living in poverty and suffering from preventable or treatable health issues. Operating across 11 countries, our team of 900+ has reached over 500 million people, working closely with governments to scale these interventions.
- Deworm the World has delivered over 2 billion treatments, significantly reducing worm prevalence and generating more than $23 billion in lifetime productivity gains.
- Safe Water Now has saved the lives of over 15,000 children.
- Our Accelerator explores untapped opportunities in global health, testing low-cost interventions with the greatest potential to save and improve lives.
At Evidence Action, your colleagues are your greatest asset. You will partner with high-caliber colleagues in an environment blending innovation, autonomy, and teamwork. Our team excels in disruptive thinking and believes in rolling up our sleeves to get things done. If you are looking to work flexibly and with purpose, join a team that delivers measurable change for millions.
Job purpose
The Associate Manager, Program Data Analytics (PDA) leads the analysis of cleaned program data – handed off by the Program Data Management (PDM) team – to generate insights, evidence-based recommendations, and decision-ready reports for Evidence Action's programs across West and Central Africa (WCA). While PDM is responsible for digitizing data collection tools and cleaning program data, PDA is responsible for analyzing that data: designing analysis plans, running statistical analysis, interpreting results, and translating findings into program improvements.
S/he will contribute to the design of measurement, sampling, and survey strategies, and ensure analytical outputs are communicated clearly to both technical and non-technical audiences through reports, dashboards, and visualizations. The ideal candidate is intellectually curious, methodologically rigorous, and able to manage multiple analytical workstreams while mentoring junior analysts.
This position will be an integral part of the Data Analytics and Learning team that operates within Evidence Action's broader Monitoring, Learning, and Evaluation (MLE) team for the WCA Sub-Region. In this role, the Associate Manager will supervise the Senior Associate, Program Data Analytics.
Duties and responsibilities
1. Lead Data Analysis
Direct the statistical analysis of cleaned program data received from the Program Data Management team, ensuring rigorous, well-documented, and reproducible analysis.
Examples of activities:
- Design and review analysis plans, including choice of statistical methods, for program monitoring and evaluation questions.
- Conduct and review descriptive and inferential statistical analysis (e.g. summary statistics, regression analysis, hypothesis testing) using Stata, R, or Python.
- Interpret analytical results and translate them into clear, actionable recommendations for program teams.
- Identify and flag data patterns, anomalies, or emerging trends that warrant program attention.
2. Contribute to Measurement and Survey Design
Provide analytical input into the design of surveys and measurement strategies, working closely with the Program Data Management team on instrument design.
Examples of activities:
- Advise on sampling strategy, indicator definitions, and survey structure to ensure data will support planned analysis.
- Review draft survey instruments for analytical soundness before they are digitized and deployed.
- Support the design of appropriate measurement frameworks for new programs and grants.
3. Produce and Oversee Reports, Dashboards, and Visualizations
Lead the translation of analytical output into reports, dashboards, and visualizations that inform program and donor decision-making.
Examples of activities:
- Oversee the development of donor and program reports by interpreting and triangulating analytical findings from across the MLE team.
- Maintain oversight of MLE dashboards, working with dashboard developers to ensure accuracy and the most up-to-date data are reflected.
- Review and edit analytical reports and presentations for accuracy and clarity, tailored to technical and non-technical audiences.
- Guide the development of infographics and visualizations that clearly communicate analytical findings.
4. Ensure Information Flow Between MLE and Programs
- Fully understand program needs for analysis and translate that back to the Program Data Analytics team, including developing tools that enable clear and effective analytical requests.
- Seek out, prioritize, and communicate analytical requests from program teams to the MLE team.
- Extract learnings from analysis and research products that enable program teams to make evidence-based decisions.
5. Team Management
- Supervise the Senior Associate, Program Data Analytics, reviewing analytical deliverables for rigor and accuracy.
- Coordinate and manage Program Data Analytics work plans and priorities to ensure timely delivery.
- Support the professional development and technical skill building (e.g. statistical methods, coding practices) of the Program Data Analytics team.
This job description is intended to convey essential functions and requirements. It is not an exhaustive list of duties, responsibilities, or qualifications. As Evidence Action's portfolio expands to include new grants and programs, employees may be assigned additional or modified responsibilities to support emerging initiatives. Flexibility and adaptability to evolving organizational priorities are expected.
Requirements
Key performance indicators
- Timely delivery of analytical outputs and donor/program reports.
- Analytical rigor: documented, reproducible analysis with minimal errors identified in review.
- Delivery of quality dashboards for the program and MLE in coordination with the IS team.
- Actionable recommendations that are adopted or referenced in program decision-making.
- Well-coordinated professional development and mentorship of the Program Data Analytics team.
Qualifications and experience
- Master's degree (preferred) or Bachelor's (with additional work experience) in a data-oriented field (i.e. statistics, economics, quantitative political science, data science, public health, epidemiology, or a related field).
- A minimum of 5 years' work experience conducting quantitative data analysis, including experience managing or mentoring junior analysts.
- Strong working knowledge of statistical software packages such as Stata, R, or Python, with demonstrated experience running descriptive and inferential statistical analysis on program or survey data.
- Experience in data visualisation and/or building infographics and/or using design and infographic software (e.g. Power BI, Tableau, Gapminder, StatSilk, Adobe Illustrator/Photoshop, OmniGraffle, etc.).
- Working knowledge of geospatial analysis (ArcGIS/QGIS) an advantage.
- Fluency in English required; working proficiency in French desirable for engagement in Francophone WCA countries.
Skills required
A successful Associate Manager, Program Data Analytics will have the following attributes:
- The ability to work independently with minimal instruction.
- Strong interpersonal skills and ability to work effectively with a team that is geographically dispersed.
- Self-directed/self-motivating personality, with proven ability to manage demands from multiple supervisors while adhering to program deadlines and priorities.
- Strong critical, analytical, and quantitative reasoning skills.
- An active approach to problem-solving and an orientation toward practical knowledge-seeking through learning, questioning, and experimentation.
- A belief that timely, rigorous analysis is a requirement for strong decision-making and high-quality service delivery.
- Highest quality, professional writing and communications skills, with the ability to make technical findings accessible to non-technical audiences.
- Intellectual flexibility and willingness to form and adjust opinions based on evidence.
- Quick to learn, motivated to self-teach and capable of independently translating new knowledge into practice.
- Demonstrated ability to leverage AI tools and technologies to enhance analytical workflows, automate routine processes, and improve overall productivity.
Note: Please specifically illustrate the above desired qualifications in your cover letter by giving examples from your experience.
Working conditions
Typical working hours are from 8.00am to 5.00pm with a one (1) hour lunch break, between 1.00pm and 2.00pm. However, due to the nature of the job, there might be times when you will be expected to work outside office hours.
Physical requirements
None.
Direct reports
Senior Associate, Program Data Analytics
Position location
This role will be based in any of the WCA countries. This position is open only to citizens or permanent residents in any of Evidence Actions Countries with WCA (Cameroon, Cote d’Ivoire, Liberia, Nigeria)
We are unable to sponsor or take over sponsorship of employment visa at this time. Applicants must be legally authorized to work in in a WCA country
Benefits
- .Evidence Action provides a comprehensive benefits package for employees worldwide.
- *Benefits may differ based on country-specific regulations
- Benefits include:
- Comprehensive health insurance
- Pension/ Retirement savings options
- Paid leave
- Avenues for engagement and recognition.
- Compensation is competitive and commensurate with the individual’s credentials, experience, and internal pay scale.
- Evidence Action is an Equal Opportunity Employer with a commitment to representation and inclusion. All individuals, regardless of personal characteristics, are encouraged to apply.
Skills Required
- Master’s degree preferred, or Bachelor’s degree with additional work experience, in statistics, economics, quantitative political science, data science, public health, epidemiology, or a related data-oriented field
- At least 5 years of experience conducting quantitative data analysis
- Experience managing or mentoring junior analysts
- Strong working knowledge of Stata, R, or Python, including descriptive and inferential statistical analysis of program or survey data
- Experience in data visualization, infographics, or design and infographic software
- Fluency in English
- Working proficiency in French
- Working knowledge of geospatial analysis using ArcGIS or QGIS
- Ability to leverage AI tools and technologies to improve analytical workflows and productivity
- Legal authorization to work in a WCA country; applicants must be citizens or permanent residents of Cameroon, Côte d’Ivoire, Liberia, or Nigeria
What We Do
Evidence Action is a global non-profit operating in seven countries in Africa and Asia. We were founded in 2013 to address a big gap in the fight against global poverty–many of the most promising interventions are either implemented at a very small scale, or not at all. We set out to address this gap by building programs that would scale evidence-based and cost-effective interventions, leading to significant improvements in quality of life for hundreds of millions. Our model worked. In less than a decade, our two flagship programs, the Deworm the World Initiative and Dispensers for Safe Water, have grown to measurably impact over 280 million people each year by supporting governments to deworm and through our last-mile delivery network providing safe water access. This success is achieved through the dedication and talent of our staff, the hard work of our partners, and the commitment of our supporters. Every part of our work across the lifecycle of our programs is driven by evidence. This starts with the interventions we select to invest in, and continues as we use real-time data to refine and adapt our operations, including responding rapidly and effectively to resolve challenges as they arise. Our pursuit of cost-effectiveness is driven by a recognition that when we optimize every aspect of our programs, we can reach as many people–and do as much good– as possible with each dollar. We measure value for money in terms of the number of lives we can help improve. Scale enables our massive impact. We invest in solutions for which the need is great, and leverage existing networks like schools or community organizations to grow rapidly, minimize costs, and increase efficiencies. We think big and act urgently–because poverty does not wait. By 2024, we seek to double our impact. We are strengthening and expanding our existing programs, and working to identify a new generation of evidence-based and cost-effective interventions that we can scale to reach millions more
