Associate managing epidemiology and data analysis for malaria programs at CHAI in Cameroon. Leading M&E frameworks, statistical analysis, and capacity building for government counterparts.
Responsibilities
Conduct rigorous epidemiological and statistical analyses of malaria surveillance and program data (e.g., routine HMIS, surveys, operational research) to generate actionable insights.
Organize and merge available datasets, assess data quality and suitability for analysis, and apply relevant statistical methods including regression, time series, and other approaches.
Analyse geographic and spatial data using GIS software, including descriptive and predictive mapping of malaria burden and intervention coverage.
Develop subnational epidemiological situation analyses and malaria burden estimates to guide resource allocation and programmatic prioritization across Cameroon's regions.
Synthesize evidence from global and regional literature to inform CHAI and PNLP's technical and strategic decisions.
Lead the design and implementation of a comprehensive M&E framework for CHAI Cameroon's malaria program, including performance monitoring plans, indicators, data collection tools, and reporting templates aligned with CHAI and donor requirements.
Develop and maintain a program-level performance tracking dashboard to enable real-time monitoring of progress against key milestones and targets.
Design and oversee routine data quality assessments to ensure accuracy, completeness, timeliness, and reliability of program data across reporting channels.
Coordinate midterm, end-of-project evaluations, and impact assessments including the development of evaluation protocols, data collection instruments, and summary reports.
Lead documentation of lessons learned, best practices, and program insights, and disseminate findings to internal and external stakeholders to support continuous learning and adaptive management.
Support the rollout and monitoring of new and existing surveillance platforms for improved data collection, reporting, management, automated analysis, and visualization.
Design, manage, and validate data systems and analytical products, ensuring data quality, integrity, and accessibility for government counterparts and partners.
Support the PNLP in strengthening and operationalizing malaria surveillance systems by ensuring a functional national malaria surveillance technical working group.
Support the NMCP to operationalize quality subnational programmatic data review through adoption of data review meetings and tools at the district level to review facility-based reporting, case-based surveillance, and community-level data collection.
Strengthen the culture of data use by promoting routine analysis and interpretation of surveillance data for decision-making at all levels.
Support the review, development, and updating of national malaria strategic plans, policies, and guidelines, ensuring alignment with WHO recommendations and emerging evidence.
Review and provide feedback on relevant program documents including surveillance guidelines, SOPs, M&E plans, lessons learned, and operational manuals.
Monitor and evaluate malaria intervention implementation, identify gaps, and provide technical recommendations to improve coverage, equity, and efficiency.
Contribute to the development of funding proposals by providing the evidence base, M&E frameworks, and results frameworks as requested.
Translate analytical findings into clear, high-quality reports, policy briefs, manuscripts and presentations for the NMCP, partners, and donors.
Produce compelling data visualizations and analytical products to communicate findings to diverse audiences, including government officials, donors, and technical partners.
Disseminate results through national and subnational platforms, ensuring evidence is accessible, actionable, and aligned with national priorities.
Contribute to the preparation of high-quality donor reports, program updates, and presentations, ensuring data accuracy and adherence to reporting requirements.
Serve as a primary technical resource and day-to-day partner for the PNLP M&E unit, providing mentorship, on-the-job coaching, and technical assistance to strengthen national data systems, analytical capacity, and evidence use.
Collaborate with government counterparts, technical partners, and donors to build national capacity in data analysis and epidemiological methods.
Represent CHAI in relevant technical working groups, inter-agency coordination meetings, and donor forums as requested.
Foster and maintain strong working relationships across government, NGOs, academia, and donor partners at national and subnational levels.
Facilitate coordination and knowledge-sharing between the PNLP, partner organizations, and CHAI's global and regional malaria teams.
Design, implement, analyse, and disseminate operational research projects related to surveillance, intervention effectiveness, and entomology.
Support implementation science activities including the development of study protocols, data collection tools, analysis plans, and research outputs.
Contribute to research and innovation that advances malaria surveillance, epidemiology, and data-driven program design in Cameroon.
Perform other responsibilities aligned with CHAI's mission and program needs as required.
Requirements
Bachelor's degree in public health, epidemiology, statistics, biostatistics, demography, or a related quantitative or health-related field.
Demonstrated experience designing and implementing M&E frameworks, including developing indicators, data collection tools, and performance monitoring plans.
Strong quantitative analytical skills and proficiency in at least one statistical or data analysis tool (e.g., R, Stata, Python, or SAS).
Experience working with national health information systems, particularly DHIS2, and demonstrated ability to manage, clean, and analyze large, complex datasets.
Familiarity with data collection tools (e.g., ODK) and data visualization applications (e.g., Tableau, Power BI).
High proficiency in Microsoft Excel, Word, and PowerPoint, with the ability to produce polished reports, dashboards, and presentations.
Strong analytical and problem-solving skills, with the ability to interpret complex datasets and translate findings into actionable insights for both technical and non-technical audiences.
Excellent written and verbal communication skills in both French and English.
Ability to work independently in a fast-paced, decentralized environment, manage competing priorities, and meet deadlines without compromising quality.
Strong interpersonal skills, cultural sensitivity, and demonstrated ability to build trusted relationships with government counterparts and diverse partners.
Willingness to travel within Cameroon and occasionally within the sub-region.
Genuine commitment to CHAI's mission of saving lives and reducing disease burden in low- and middle-income countries.
Network Optimisation Data Analyst supporting Australia Post’s network strategy. Delivering data - driven insights and assisting in network modelling for operational improvement initiatives.
Lead Securities Quantitative Analytics Specialist developing Asset Liability Management models for Wells Fargo's Investment Portfolio. Collaborating with business stakeholders and quant teams to deliver innovative solutions.
Data Analyst focusing on data quality assurance and image processing in power grid infrastructure. Collaborating with project team and delivering quality datasets for internal and external stakeholders.
Data Analyst working with engineering teams to consolidate and analyze data in wind energy. Contributing to data - driven evaluations and insights for operational improvements.
Data Analyst Intern at EnerSys analyzing warranty data and developing automated reporting tools. Supporting continuous improvement with data - driven insights for business decisions and product strategy.
Senior Product Analyst supporting Qonto in data - informed decision making for SMEs growth. Collaborating with Product Managers to drive product strategy and experimentation.
Data Analytics Associate reviewing and approving analytics on large data sets to inform business initiatives at TIAA. Ensuring data quality and developing reports to enhance decision - making.
Junior Network Data Analyst assisting with network support for IT consulting company. Monitoring network performance and troubleshooting connectivity issues while collaborating with teams in diverse projects.
Data Analyst in Network squad focusing on demand forecasts and model performance analysis at Relay. Investigating errors and building dashboards to enhance operational efficiency.