- Job type
- Full-time
- Work mode
- Remote
- Level
- Lead
- Department
- Data and Analytics
- Experience
- 5+ years experience
- Posted
- Sep 15, 2026
About the role
Major Responsibilities:
Analytical Delivery & Insight Development
- Own end-to-end delivery of complex analytical workstreams from problem framing through final insights.
- Translate complex datasets into clear, actionable insights and recommendations for client decision-making.
- Develop executive-ready narratives, visualizations, and presentations that clearly communicate key findings.
- Ensure insights are structured to support strategic decisions and transformation initiatives.
Quality Assurance & Analytical Rigor
- Ensure data accuracy, methodological consistency, and alignment with delivery standards.
- Review and validate analytical work from Senior Analysts and Analysts to maintain quality and rigor.
- Maintain thorough documentation of methodologies, data transformations, and analytical assumptions.
Operational Excellence & Process Improvement
- Monitor analytical workflows to ensure timeliness, efficiency, and risk mitigation.
- Develop templates, standard modules, and reusable analytical assets for current and future engagements.
- Identify opportunities to improve analytical processes, methodologies, and standardization.
Engagement Support & Collaboration
- Support the assessment of analytical feasibility, complexity, and effort for proposed workstreams.
- Collaborate with internal teams and clients to ensure analytical outputs align with project objectives.
Education and Experience:
- 5+ years of experience in analytics, consulting, research, or a related field.
- Degree in quantitative field preferred (Economics, Statistics, Data Science, or related field)
- Experience working in client-facing or stakeholder-facing environments.
- Demonstrated experience owning complex analytical workstreams end-to-end, from problem framing to delivery.
- Strong ability to translate complex data into clear insights, narratives, and decision-support recommendations.
- Ability to manage multiple analytical workstream components with strong attention to detail and quality control.
- Demonstrated ability to navigate ambiguity while balancing analytical rigor, speed, and client context.
- Experience creating client-ready visualizations, presentations, and analytical storytelling.
- Strong communication skills with both technical and non-technical stakeholders.
- Strong background in quantitative analysis, data interpretation, and quality assurance.
- Advanced proficiency in SQL, Python, or similar analytical programming tools.
- Advanced proficiency with Microsoft Office Suite and Google Workspace, especially Excel and PowerPoint.
- Experience mentoring analysts and contributing to reusable analytical frameworks or best practices.
- Experience in workforce analytics, skills data, HR technology, or labor economics is a plus.
