{"id":584447,"url":"https://alion.io/job/evidenceaction-senior-associate-program-data-analytics-wca","title":"Senior Associate Program Data Analytics WCA","company":{"id":7435,"name":"Evidence Action","domain":"evidenceaction.org","url":"https://alion.io/company/evidenceaction","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":83,"open_postings":6,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Abuja, Nigeria","Abidjan, Ivory Coast","Monrovia, Liberia"],"countries":["NG","CI","LR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":50000,"max_usd":112000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2272},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Adobe Illustrator","optional":false},{"name":"Adobe Photoshop","optional":false},{"name":"Canva","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"QGIS","optional":false},{"name":"Shiny","optional":false},{"name":"Stata","optional":false},{"name":"Tableau","optional":false},{"name":"R","optional":true}],"status":"live","first_seen_at":"2026-09-09T00:00:00Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T13:54:50Z","board_verified":true,"closed_at":null,"days_open":63,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":63},"description":"About Evidence Action\nAt 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.\nOur 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.\n Deworm the World has delivered over 2 billion treatments, significantly reducing worm prevalence and generating more than $23 billion in lifetime productivity gains. \n Safe Water Now has saved the lives of over 15,000 children. \n Our Accelerator explores untapped opportunities in global health, testing low-cost interventions with the greatest potential to save and improve lives. \nAt 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.\nJob purpose\nThe 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.\nThis 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.\nThe Senior Associate's primary responsibilities\nUnder 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.\nEnsure adequate information flow within and between program teams and MLE divisions on analytical findings.\nReview and experiment with innovative visualization techniques to showcase MLE analytical work effectively.\nDesign content for in-house mentorship and training sessions for MLE field teams and facilitate these sessions.\nParticipate actively in organizing in-house MLE meetings and represent the Program Data Analytics department and MLE in internal and external engagements when necessary.\nDuties and responsibilities\nData Analysis\nRun descriptive and inferential statistical analysis (e.g. summary statistics, cross-tabulations, regression analysis) on cleaned program data using Stata, R, or Python.\nFull understanding of program needs for analysis and translating that back to the MLE team, including developing tools that enable clear and effective analytical requests.\nIdentifying, prioritizing, and communicating program team analytical requests to the MLE team.\nFlag data anomalies or emerging trends identified during analysis to the Associate Manager.\nEnsure effective information flow and communication of lessons learned from MLE to programs\nWriting 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.).\nCollecting 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.\nParticipating in the development of informative and eye-catching infographics that aid in guiding data-driven decision making.\nMaintaining oversight of MLE dashboards by communicating with dashboard developers to guarantee the best aesthetics and the most up-to-date data are reflected.\nEmpowering the MLE field team officers to make quality presentations during bi-monthly meetings with programs.\nExtracting learnings from analysis and research products that enable program teams to make evidence-based decisions.\nRoutinely attending meetings within MLE and across various programs as required.\nTeam Management\nManaging productivity, professional development, and skill building for at least one Associate, Program Data Analytics.\nContributing to the accomplishment of the program data analytics work plans.\nThis 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.\nRequirements\nKey performance indicators\nShort turnaround time between cleaned data hand-off, analysis output generation, and report development and dissemination.\nAnalytical rigor: documented, reproducible analysis with minimal errors identified in review.\nIntroduction of innovative ways, including visualization techniques, to the portfolio of the program data analytics team.\nFluency in articulation of findings both orally and in written form through reports or visuals.\nRoutine attendance at meetings within MLE and across various programs as required.\nQualifications\nBachelor's degree in a data-oriented discipline (i.e. Statistics, Data Science, Economics, or related fields). A postgraduate degree will be an added advantage.\nA minimum of 3 years' work experience running quantitative data analysis and generating high quality, clear, thought leadership reports.\nStrong working knowledge of statistical software packages such as Stata, R, or Python, with demonstrated experience running descriptive and inferential statistical analysis.\nExperience transforming cleaned data into insights and reports, working with large amounts of data/information and seeing the 'bigger picture'.\nProven work experience with data visualization tools such as Power BI or Tableau for interactive dashboards and reporting.\nExperience developing infographics using tools/software such as Piktochart, Canva, Snappa, Adobe Illustrator/Photoshop, etc.\nWorking knowledge of mapping software - either R/R Shiny, ArcGIS, or QGIS.\nPersonal characteristics: proactive; strong communication skills; creative/thinking out of the box; an eye for detail; and a love for data.\nFluency in English required; working proficiency in French desirable for engagement in Francophone WCA countries.\nDemonstrated ability to leverage AI tools and technologies to enhance analytical workflows, automate routine processes, and improve overall productivity..\nDirect reports\nAssociate, Program Data Analytics\nPosition location\nThis 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).\nWe 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.\nEqual opportunity statement\nEvidence 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.\nBenefits\n.Evidence Action provides a comprehensive benefits package for employees worldwide.\n*Benefits may differ based on country-specific regulations\nBenefits include:\nComprehensive health insurance\nPension/ Retirement savings options\nPaid leave\nAvenues for engagement and recognition.\nCompensation is competitive and commensurate with the individual’s credentials, experience, and internal pay scale.\nEvidence Action is an Equal Opportunity Employer with a commitment to representation and inclusion. 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