Lead Research Analyst
New
J
JobgetherWorkforce Analytics
Based in the United StatesFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLMicrosoft ExcelData visualizationPowerPointGoogle Workspace
Requirements
- 5+ years of experience in analytics, consulting, research, or a closely related field.
- Demonstrated ability to independently own complex analytical workstreams from problem framing through final delivery.
- Advanced proficiency in SQL, Python, or comparable analytical programming tools.
- Proven ability to create client-ready visualizations, presentations, narratives, and recommendations.
- Strong background in quantitative analysis, quality assurance, and translating complex datasets into meaningful conclusions.
- Advanced proficiency with Microsoft Office and Google Workspace, particularly Excel and PowerPoint.
- Experience working in client-facing or stakeholder-facing environments.
- Experience mentoring analysts and contributing to reusable analytical frameworks.
- Ability to balance analytical rigor, speed, ambiguity, and client context.
- Excellent attention to detail and ability to manage multiple analytical components.
- Degree in a quantitative discipline such as Economics, Statistics, or Data Science is preferred.
- Experience with workforce analytics, skills data, HR technology, or labor economics is a plus.
Responsibilities
- Own complex analytical workstreams from problem definition and data exploration through analysis, interpretation, recommendations, and final delivery.
- Transform complex workforce and business datasets into clear, actionable insights that support strategic decisions and organizational transformation.
- Develop polished narratives, visualizations, presentations, and other client-ready materials that communicate findings effectively to technical and non-technical audiences.
- Validate data accuracy, analytical methodologies, assumptions, and outputs while ensuring work meets established delivery and quality standards.
- Review work produced by Analysts and Senior Analysts, providing guidance and feedback to strengthen analytical rigor and consistency.
- Maintain thorough documentation covering methodologies, data transformations, analytical assumptions, and key decisions.
- Monitor analytical workflows, identify inefficiencies and risks, and improve processes, methodologies, templates, and reusable analytical assets.
- Partner with internal teams and clients to ensure analytical approaches and outputs remain aligned with project objectives and business needs.
- Support the development of analysts through knowledge sharing, feedback, coaching, and contributions to analytical best practices.
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