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LeadFull-timePythonData Science
Salary Range
$76,500 - $103,500 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
The Lead Analyst, Consulting (Data, Analytics & Insights) is a senior, hands-on role within the Professional Services Data, Insights & Analytics team. This position sits at the intersection of advanced analytics, client delivery, and team leadership. The Lead Analyst owns complex analytical workstreams end-to-end, translating large and complex datasets into clear, actionable insights that support strategic client decisions.
Key Responsibilities
- →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.
- →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.
Requirements
- ✓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.
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