Description
Develop and apply statistical theory and methods to collect, manage, analyze, and interpret quantitative data to produce actionable insights. May specialize in areas such as biostatistics, agriculture, business, or economics, including mathematical and survey statistics.
- • Report analysis results with graphs, charts, tables, and clear narratives.
- • Process and transform large datasets for modeling and visualization.
- • Identify relationships, trends, and potential confounders in data.
- • Analyze and interpret data to assess significant differences and effects.
- • Clean, validate, weight, and organize raw data for analysis.
- • Evaluate statistical methods and study procedures for validity and efficiency.
- • Assess data sources for reliability, bias, and usability.
- • Plan data collection strategies and select sample designs and sizes.
- • Design studies using sound scientific techniques and historical baselines.
- • Supervise and guide data collection and tabulation activities.
- • Apply sampling techniques or complete enumerations to define target populations.
- • Adapt and tailor statistical methods to domain-specific problems.
- • Develop and test experimental designs, sampling plans, and analytic methods.
- • Investigate probability and inference theories to improve methodologies.
- • Author technical reports, peer-reviewed papers, and documentation.
- • Develop or script software for statistical modeling and graphics.
- • Present technical and nontechnical findings to clients, peers, and students.
- • Select and justify appropriate statistical methods for research questions.
- • Design or structure data warehouses and repositories for analysis.
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Tasks & skills:
O*NET occupational data (work activities, skills, knowledge).
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This site includes information from O*NET by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Career Clutch has modified some of this information for student readability. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.
Last reviewed: Jan 2026
