The Lead Research Analyst manages complex analytical projects, providing insights to support client decisions, ensuring data quality, and mentoring teams.
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.
Major 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. 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.
Analytical Delivery & Insight Development
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.
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.
Similar Jobs
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
As a Product Designer, you will create user experiences for borrower-facing flows, translate product requirements into designs, collaborate with teams, and iterate on feedback to impact borrower interactions positively.
Top Skills:
Figma
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
As a Senior Product Designer at Upstart, you will design AI-driven payment experiences, translating complex workflows into user-friendly interfaces and collaborating with cross-functional teams to enhance borrower interactions and success.
Top Skills:
FigmaPrototyping Tools
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
As a Staff Data Analyst, you'll drive data analysis, build business intelligence tools, and collaborate across teams to optimize Upstart's servicing strategy, while mentoring junior analysts.
Top Skills:
DatabricksDbtLookerModePythonRRedshiftSnowflakeSQLTableau
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
