Use softwares such as R to code and develop compelling visual insights by analyzing WDL’s datasets alongside external data sources.
Provide hands-on support for data-focused client projects, including coding, data quality assurance/quality control (QA/QC), and bespoke impact analyses aligned with client needs.
Contribute to client engagement by preparing and delivering follow-up materials (e.g., decks and briefing notes), supporting technical questions during calls, and assisting with preparation for key meetings.
Work with colleagues across WDL’s global hubs to strengthen the organization’s public sector sales pipeline and contribute to SDG-related projects, ensuring data-driven insights are embedded into strategy and delivery.
Requirements
Bachelor’s degree in Data Science, Economics, Statistics or related field required; Master’s degree preferred.
Strong academic or practical foundation in data science, coding, and quantitative analysis, with demonstrated ability to apply these skills in professional settings.
Proficiency in technical tools and programs, including R and Excel (experience with other programming or statistical languages is a plus).
Background in fields such as public policy, economics, or related disciplines that intersect with public sector research and analysis.
Prior work experience (minimum 3-5 years) applying data science and coding skills to real-world problems, ideally within research, analytics, or policy-focused environments.
Ability to translate complex data findings into clear, actionable insights for diverse stakeholders.
Strong data cleaning and processing skills, particularly with large, messy datasets.
Excellent knowledge of statistical and econometric methods.
Strong quality assurance mindset and attention to detail.
Effective communication and presentation skills, with the ability to translate technical work into clear insights.
Collaborative team player, comfortable working across functions and international teams.
Benefits
The opportunity to make an impact in a well-established big data SaaS scale-up.
Work with leading global public sector clients.
Be part of a diverse team of highly motivated and like-minded individuals.
Opportunity to shape your career through personal development plan supported by the growth opportunities.
A dynamic, inclusive environment where collaboration with colleagues across the globe is part of everyday life.
Hybrid working model.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencecodingquantitative analysisdata cleaningdata processingstatistical methodseconometric methodsquality assuranceimpact analysisdata visualization
Soft skills
effective communicationpresentation skillscollaborative team playerattention to detailability to translate complex dataclient engagementsupporting technical questionspreparing follow-up materialsworking across functionsstrengthening sales pipeline