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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 11 countries, our team of 900+ 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. Background Evidence Action’s Monitoring, Learning and Evaluation (MLE) function in the West and Central Africa (WCA) region delivers the Comprehensive Facility Survey (CFS) analysis annually for each country program. In 2025, responsibility for the CFS analysis transitioned from the ESA team to the WCA Data Analytics and Learning (DAL) unit. The first two rounds — Cameroon (December 2025) and Liberia (March 2026) — revealed significant gaps in the quality and completeness of the analysis outputs, which were documented through a formal Root Cause Analysis. The RCA identified four root causes: an abrupt transition without adequate knowledge transfer, the absence of a documented analysis protocol and quality assurance process, insufficient pre-analysis pipeline review, and a supervisory review process that was not yet functioning as an effective quality gate. A structured improvement plan has been developed to address these gaps ahead of the next CFS round (Cameroon, October 2026). This consultancy is being engaged to accelerate the improvement plan, provide technical coaching to the DAL team, and serve as a quality gate on analysis outputs during the engagement period. Objective The primary objective of this consultancy is to strengthen the WCA DAL team’s capacity to independently deliver high-quality CFS analysis by October 2026. The consultant will do this by providing hands-on technical coaching, co-developing structured analysis protocols and SOPs, training the team on their application, and functioning as the primary quality assurance reviewer on all analysis outputs produced during the engagement period. A secondary objective is to contribute to the broader analytical capacity of the DAL unit by supporting the team on data analysis workflows, results generation, and evidence-based reporting practices that extend beyond the CFS package. Scope of Work CFS Analysis Quality Assurance and Capacity Building (Primary — approx. 70% of effort) Technical Coaching Work alongside the primary analyst (Associate level) to build familiarity with the CFS analytical logic, including KPI construction from raw survey data, compound conditions (AND/OR operators, nested skip-logic), denominator specification, and rebinning procedures. Lead or co-lead structured learning sessions on the CFS package covering KPI definitions and rationale, survey design and skip-logic patterns, codebook conventions, and how indicators are derived from raw data. Sessions should be practical and tied to the team’s actual