Lead Research Analyst - 1078

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.

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.

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.

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.

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.