Lead Research Analyst - 1078

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 analytics, data science, economics, statistics, or a related field, or equivalent professional experience.

• Demonstrated experience owning complex analytical workstreams end-to-end, from problem framing to delivery.

• Strong background in quantitative analysis, data interpretation, and quality assurance.

• Experience working in client-facing or stakeholder-facing environments.

• Advanced proficiency in SQL, Python, or similar analytical programming tools.

• Advanced proficiency with Microsoft Office Suite and Google Workspace, especially Excel and PowerPoint.

• Strong ability to translate complex data into clear insights, narratives, and decision-support recommendations.

• Experience creating client-ready visualizations, presentations, and analytical storytelling.

• 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.

• Strong communication skills with both technical and non-technical stakeholders.

• 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.