Senior Associate – Program Data Analytics

Evidence Action

. Analyze cleaned program data to generate insights, visualizations, and reports informing program decisions across West and Central Africa .

Posted 11/12/2026full-timeAbuja • NigeriaSenior💰 NGN 751,000 - NGN 1,000,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative data analysis, statistical software, and data visualization tools to generate actionable insights and reports. Proficient in mentoring and training teams while effectively communicating analytical findings to diverse audiences.

Highest-signal resume keywords

Statistical AnalysisData VisualizationData Analysis SoftwareReport WritingMentorship and Training

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative Data AnalysisDescriptive Statistical AnalysisInferential Statistical AnalysisData TransformationData CurationInfographic DevelopmentDashboard ManagementAI Tools UtilizationMapping Software ProficiencyReport Generation

Soft Skills

Proactive CommunicationCreative Problem SolvingAttention to Detail

Tools & Technologies

StataRPythonPower BITableauPiktochartCanvaAdobe IllustratorArcGISQGIS

Industry Keywords

Data-Driven Decision MakingProgram Data AnalyticsMLEWest and Central AfricaThought Leadership Reports

Tech Stack

Tools & technologies

PythonTableau

About the role

Key responsibilities & impact

Analyze cleaned program data to generate insights, visualizations, and reports informing program decisions across West and Central Africa
Lead statistical analysis and produce reports, visualizations, and publications from cleaned program data
Ensure information flow between program teams and MLE divisions on analytical findings
Review and experiment with innovative visualization techniques
Design and facilitate in-house mentorship and training sessions for MLE field teams
Participate in organizing MLE meetings and represent Program Data Analytics and MLE in internal and external engagements
Run descriptive and inferential statistical analyses, including summary statistics, cross-tabulations, and regression analysis
Translate program analytical needs into tools and requests for the MLE team
Identify, prioritize, and communicate analytical requests
Flag data anomalies and emerging trends to the Associate Manager
Write and edit reports and presentations tailored to target audiences
Collect and curate information from program research, external research, new analyses, and management information systems
Develop informative infographics supporting data-driven decision-making
Oversee MLE dashboards and coordinate with dashboard developers to maintain current data and effective aesthetics
Empower MLE field team officers to deliver quality presentations during bi-monthly program meetings
Extract learnings from analysis and research products for evidence-based decisions
Attend MLE and program meetings as required
Manage productivity, professional development, and skill building for at least one Associate, Program Data Analytics
Contribute to program data analytics work plans

Requirements

What you’ll need

Bachelor's degree in a data-oriented discipline (i.e. Statistics, Data Science, Economics, or related fields)
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
Demonstrated experience running descriptive and inferential statistical analysis
Experience transforming cleaned data into insights and reports
Experience 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 Piktochart, Canva, Snappa, Adobe Illustrator/Photoshop, etc.
Working knowledge of mapping software – either R/R Shiny, ArcGIS, or QGIS
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
Must be legally authorized to work in the WCA country in which they will be based
A postgraduate degree is an added advantage

Benefits

Comp & perks

Comprehensive health insurance
Pension/ Retirement savings options
Paid leave
Avenues for engagement and recognition
Competitive compensation commensurate with credentials, experience, and internal pay scale
Equal opportunity and commitment to representation and inclusion