Senior Associate, Program Data Analytics - WCA

Job Purpose

• The 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.
• This 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.

Primary Responsibilities

• Under 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
• Ensure adequate information flow within and between program teams and MLE divisions on analytical findings
• Review and experiment with innovative visualization techniques to showcase MLE analytical work effectively
• Design content for in-house mentorship and training sessions for MLE field teams and facilitate these sessions
• Participate actively in organizing in-house MLE meetings and represent the Program Data Analytics department and MLE in internal and external engagements when necessary.

Duties and Responsibilities
Data Analysis:

• Run descriptive and inferential statistical analysis (e.g. summary statistics, cross-tabulations, regression analysis) on cleaned program data using Stata, R, or Python
• Full understanding of program needs for analysis and translating that back to the MLE team, including developing tools that enable clear and effective analytical requests
• Identifying, prioritizing, and communicating program team analytical requests to the MLE team
• Flag data anomalies or emerging trends identified during analysis to the Associate Manager
• Ensure effective information flow and communication of lessons learned from MLE to programs
• Writing 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.)
• Collecting 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
• Participating in the development of informative and eye-catching infographics that aid in guiding data-driven decision making
• Maintaining oversight of MLE dashboards by communicating with dashboard developers to guarantee the best aesthetics and the most up-to-date data are reflected
• Empowering the MLE field team officers to make quality presentations during bi-monthly meetings with programs
• Extracting learnings from analysis and research products that enable program teams to make evidence-based decisions
• Routinely attending meetings within MLE and across various programs as required.

Team Management:

• Managing productivity, professional development, and skill building for at least one Associate, Program Data Analytics
• Contributing to the accomplishment of the program data analytics work plan.

Key Performance Indicators

• Short turnaround time between cleaned data hand-off, analysis output generation, and report development and dissemination
• Analytical rigor: documented, reproducible analysis with minimal errors identified in review
• Introduction of innovative ways, including visualization techniques, to the portfolio of the program data analytics team
• Fluency in articulation of findings both orally and in written form through reports or visuals
• Routine attendance at meetings within MLE and across various programs as required.

Qualifications

• Bachelor's Degree in a Data-oriented discipline (i.e. Statistics, Data Science, Economics, or related fields).
• A postgraduate degree will be an added advantage
• 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, with demonstrated experience running descriptive and inferential statistical analysis
• Experience transforming cleaned data into insights and reports, 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 tools/software such as Piktochart, Canva, Snappa, Adobe Illustrator/Photoshop, etc
• Working knowledge of mapping software - either R/R Shiny, ArcGIS, or QGIS
• Personal characteristics: 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.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

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