Description
Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields such as biostatistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.
- • Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- • Process large amounts of data for statistical modeling and graphic analysis, using computers.
- • Identify relationships and trends in data, as well as any factors that could affect the results of research.
- • Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- • Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
- • Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- • Evaluate sources of information to determine any limitations, in terms of reliability or usability.
- • Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used.
- • Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.
- • Supervise and provide instructions for workers collecting and tabulating data.
- • Apply sampling techniques, or use complete enumeration bases to determine and define groups to be surveyed.
- • Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
- • Develop and test experimental designs, sampling techniques, and analytical methods.
- • Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.
- • Report results of statistical analyses in peer-reviewed papers and technical manuals.
- • Develop software applications or programming for statistical modeling and graphic analysis.
- • Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.
- • Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- • Prepare and structure data warehouses for storing data.
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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
