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’re making a real impact for people living in poverty and suffering from preventable or treatable health issues. Operating across 9 countries, our team of 800+ has reached over 500 million people, working closely with governments to scale these interventions.
- Our Deworm the World program has delivered over 2 billion treatments, significantly reducing worm prevalence and generating more than $23 billion in lifetime productivity gains.
- Through Safe Water Now, we’ve 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'll 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're looking to work flexibly and with purpose, join a team that delivers measurable change for millions.
The Role
You will oversee data systems and analytics for Evidence Action’s new In-Line Chlorination Innovation Team, under the Safe Water Now Program. Evidence Action's Safe Water Now program provides access to safe drinking water across Kenya, Uganda, Malawi, and India through water chlorination. Backed by rigorous research showing chlorination can reduce child mortality by more than 20%, safe water is one of the most cost-effective health interventions globally.
The program's newest intervention, In-Line Chlorination (ILC), automatically treats water as it flows through piped systems, requiring less behavior change from end users than existing solutions. As ILC scales up, core questions remain about how to optimize device performance, reduce operational costs, and strengthen community engagement. Answering these questions well will shape whether ILC can become a scalable, cost-effective model reaching millions more people. Evidence Action is investing in a dedicated Innovation team to find those answers.
This new team will conduct rapid field pilots testing improvements to the ILC model. Your job is to make sure those pilots produce data the team can trust and act on. You will design the data collection tools, build the dashboards, and own the pipeline from field measurement to operational decision. This is not a monitoring or evaluation role: the goal is to get useful information into the hands of field staff and program managers fast enough to change what happens next. Based in Mbale, Uganda, you will report to the Manager, Innovation & Learning, and work closely with both Field Technicians and the MLE Team.
Direct Reports
- Innovation Monitoring Officers
Responsibilities
Data Collection Design and Quality: Design and oversee data collection processes that produce reliable field data across the Innovation team's device portfolio
- Supervise a data collection team that conducts spotchecks of data collected by field technicians
- Build and iterate on survey instruments and collection protocols tailored to each pilot's learning goals
- Train field technicians on data collection procedures and conduct regular quality checks
- Identify and troubleshoot data quality issues as they emerge, including measurement inconsistencies, protocol deviations, and instrument problems
- Support pilot design by helping define what to measure, how to measure it, and what thresholds would indicate success or failure
Data Systems and Dashboards: Build and maintain the data pipeline from field collection through to usable outputs
- Design and manage operational dashboards from the ground up tracking device performance, dosing consistency, visit frequency, and other pilot-specific indicators
- Own the data cleaning and transformation process, working with MLE teams where appropriate
Data-Driven Decision Support: Integrate data from dashboards you create into timely, actionable input for the team's weekly planning and pilot decisions
- Embed data into weekly workplanning by producing clear signals on which devices need attention, which pilots are on track, and where adjustments are needed
- Support creation of decision processes across the program that directly utilize and integrate data effectively
- Analyze emerging pilot results and present findings to the team lead and field staff in accessible, non-technical terms
- Flag when data is insufficient or unreliable rather than forcing conclusions from weak evidence
Key Performance Indicators
- Data Quality and Integrity: You will be assessed on the accuracy and reliability of field data, including whether quality issues are caught early and resolved. This includes overseeing the performance of data collection officers
- Data System Delivery: You will be assessed on whether the Innovation team has functioning, reliable data infrastructure, including collection tools, dashboards, and a clean pipeline from field to decision. Speed matters: the time from field collection to usable analysis should be short enough to inform weekly decisions
- Data Integration into Decisions: You will be assessed on whether pilot data is consistently embedded into the team's weekly planning and pilot design decisions, and whether the team finds the tools and outputs useful enough to actually rely on.
Requirements
- Bachelor's degree in Statistics, Economics, Data Science, Public Health, or a related field. Possession of a post graduate qualification in M&E, Statistics, Data Science or related field will be added advantage
- 4+ years of experience in data management, program analytics, business intelligence, or applied research in a field-based setting. Candidates from a variety of backgrounds are welcome, including private sector
- Proficiency in statistical software (STATA, R, or similar) and experience building dashboards (Tableau, Power BI, or similar)
- Experience building data systems or processes from scratch, not just maintaining existing ones
- Strong communication skills including ability to present technical findings to non-technical audiences
- Comfort with ambiguity and rapid iteration
- Fluency in English; local language skills an advantage
- Willingness to be based in Mbale, Uganda with 50%+ field travel
Position Location
This role will be based in Mbale, Uganda, with regular travel to field sites.
We are unable to sponsor or take over sponsorship of Uganda employment visa at this time. Applicants must be legally authorized to work in Uganda for roles based in Uganda.
Note: Applications will be reviewed on rolling basis.
Benefits
Evidence Action provides a comprehensive benefits package for employees worldwide*. Benefits include:
- Comprehensive health insurance (medical cover for self and dependents)
- Pension/Retirement savings options
- Paid leave
- Avenues for engagement and recognition
Top Skills
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
