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 Senior Associate, Program Data Analytics (PDA) analyzes cleaned program data – handed off by the Program Data Management (PDM) team – to generate insights, visualizations, and reports that inform program decisions across West and Central Africa (WCA). The Senior Associate collaborates closely with program teams and other MLE units to understand analytical needs and to translate lessons learned from data into decision-ready outputs.
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 Senior Associate will report to the Associate Manager, Program Data Analytics, and will supervise the Associate, Program Data Analytics.
The Senior Associate's primary responsibilities
- Under the supervision of the Associate Manager, Program Data Analytics, take the lead in running statistical analysis and generating reports, visualizations, and publications from cleaned program data.
- Ensure adequate information flow within and between program teams and MLE divisions on analytical findings.
- Review and experiment with innovative visualization techniques to showcase MLE analytical work effectively.
- Design content for in-house mentorship and training sessions for MLE field teams and facilitate these sessions.
- Participate actively in organizing in-house MLE meetings and represent the Program Data Analytics department and MLE in internal and external engagements when necessary.
Duties and responsibilities
Data Analysis
- Run descriptive and inferential statistical analysis (e.g. summary statistics, cross-tabulations, regression analysis) on cleaned program data using Stata, R, or Python.
- Full understanding of program needs for analysis and translating that back to the MLE team, including developing tools that enable clear and effective analytical requests.
- Identifying, prioritizing, and communicating program team analytical requests to the MLE team.
- Flag data anomalies or emerging trends identified during analysis to the Associate Manager.
Ensure effective information flow and communication of lessons learned from MLE to programs
- Writing and editing reports and presentations with a keen eye for how analytical findings should be phrased based on the viewpoint of the target audiences (i.e. data visualization software, infographics, etc.).
- Collecting and organizing/curating information from various sources (i.e. existing program (primary) research, external (secondary) research, new analyses, management information systems, etc.) to help programs in making decisions.
- Participating in the development of informative and eye-catching infographics that aid in guiding data-driven decision making.
- Maintaining oversight of MLE dashboards by communicating with dashboard developers to guarantee the best aesthetics and the most up-to-date data are reflected.
- Empowering the MLE field team officers to make quality presentations during bi-monthly meetings with programs.
- Extracting learnings from analysis and research products that enable program teams to make evidence-based decisions.
- Routinely attending meetings within MLE and across various programs as required.
Team Management
- Managing productivity, professional development, and skill building for at least one Associate, Program Data Analytics.
- Contributing to the accomplishment of the program data analytics work plans.
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
- Short turnaround time between cleaned data hand-off, analysis output generation, and report development and dissemination.
- Analytical rigor: documented, reproducible analysis with minimal errors identified in review.
- Introduction of innovative ways, including visualization techniques, to the portfolio of the program data analytics team.
- Fluency in articulation of findings both orally and in written form through reports or visuals.
- Routine attendance at meetings within MLE and across various programs as required.
Qualifications
- Bachelor's degree in a data-oriented discipline (i.e. Statistics, Data Science, Economics, or related fields). A postgraduate degree will be an added advantage.
- A minimum of 3 years' work experience running quantitative data analysis and generating high quality, clear, thought leadership reports.
- Strong working knowledge of statistical software packages such as Stata, R, or Python, with demonstrated experience running descriptive and inferential statistical analysis.
- Experience transforming cleaned data into insights and reports, working with large amounts of data/information and seeing the 'bigger picture'.
- Proven work experience with data visualization tools such as Power BI or Tableau for interactive dashboards and reporting.
- Experience developing infographics using tools/software such as Piktochart, Canva, Snappa, Adobe Illustrator/Photoshop, etc.
- Working knowledge of mapping software – either R/R Shiny, ArcGIS, or QGIS.
- Personal characteristics: proactive; strong communication skills; creative/thinking out of the box; an eye for detail; and a love for data.
- Fluency in English required; working proficiency in French desirable for engagement in Francophone WCA countries.
- Demonstrated ability to leverage AI tools and technologies to enhance analytical workflows, automate routine processes, and improve overall productivity..
Direct reports
Associate, Program Data Analytics
Position location
This role is primarily based in Nigeria, with flexibility to accommodate candidates based in any of our West and Central Africa (WCA) office locations (Nigeria, Liberia, Cameroon, or Côte d'Ivoire).
We are unable to sponsor or take over sponsorship of an employment visa at this time. Applicants must be legally authorized to work in the WCA country in which they will be based.
Equal opportunity statement
Evidence Action does not discriminate in employment on the basis of race, colour, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Evidence Action is an Equal Opportunity Employer.
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
- Bachelor's degree in Statistics, Data Science, Economics, or a related data-oriented discipline
- Postgraduate degree
- At least 3 years of experience conducting quantitative data analysis and producing high-quality reports
- Strong working knowledge of Stata, R, or Python
- Experience conducting descriptive and inferential statistical analysis
- Experience transforming cleaned data into insights and reports using large amounts of data
- Experience with Power BI or Tableau for interactive dashboards and reporting
- Experience developing infographics with tools such as Piktochart, Canva, Snappa, Adobe Illustrator, or Photoshop
- Working knowledge of mapping software such as R Shiny, ArcGIS, or QGIS
- Proactive approach, strong communication skills, creativity, attention to detail, and enthusiasm for data
- Fluency in English
- Working proficiency in French
- Ability to leverage AI tools and technologies to improve analytical workflows and productivity
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
