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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in quantitative research and data analysis, utilizing SQL, Python, and Snowflake to derive insights from large datasets. Proficient in creating visualizations and dashboards using Tableau, while effectively communicating findings to clients and teams.
Highest-signal resume keywords
SQLPythonSnowflakeTableauQuantitative Research
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisData CleaningStatistical MethodsData PipelinesBenchmarkingTrend AnalysisCorrelation AnalysisAPIsExcelPowerPoint
Soft Skills
CommunicationPresentation Skills
Tools & Technologies
LLM ToolsTableauExcelPowerPointWord
Industry Keywords
Labor Market EconomicsData SciencePublic PolicyStatistics
Tech Stack
Tools & technologiesPythonSnowflakeSQLTableau
About the role
Key responsibilities & impact- Translate client research questions into data analyses and repeatable workflows
- Query, clean, and analyze large datasets using SQL, Python, and Snowflake
- Build and maintain data pipelines
- Create indices or composite measures for custom analyses
- Apply benchmarking, correlation, trend analysis, and other statistical and quantitative methods
- Adapt proven methods into repeatable workflows and trial new research approaches
- Apply core labor market economics concepts
- Develop client-ready materials in Excel, PowerPoint, and Word
- Create visualizations and dashboards in Tableau or similar tools
- Present research to clients and internal teams
- Communicate findings in ways that reflect what the data can support
- Use LLM tools for coding, debugging, documentation, data tasks, dashboards, and draft deliverables; review and refine outputs
- Keep current with AI tools relevant to labor market research and share useful approaches with the team
Requirements
What you’ll need- Must be authorized to work in the United States without current or future employer sponsorship
- 2–4 years of experience in quantitative research, data analysis, or data science
- Bachelor’s or master’s degree in Economics, Public Policy, Data Science, Statistics, or another quantitatively focused field
- Experience working with APIs to access, integrate, and analyze data
- Experience with SQL, Python, Snowflake, Excel, PowerPoint, Word, Tableau or similar tools, and LLM tools
Benefits
Comp & perks- Equal opportunity workplace
- Commitment to diversity of thought and unique perspectives