Lead Research Analyst - 1078

Job Description

Job Description

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. The role also contributes to developing scalable methodologies, maintaining high analytical standards, and mentoring analysts to elevate the overall quality and impact of analytical work.

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.

• 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.

Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India.  We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.

Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.