Description
Design, implement, and evaluate probability-based surveys to produce reliable population inferences. Apply sampling theory, survey methodology, and statistical analysis to plan data collection, develop instruments, weight and impute data, estimate variances, and report results. Ensure data quality, efficiency, and compliance with professional and regulatory standards across survey modes.
- • Design sampling frames and probability samples (stratified, clustered, PPS).
- • Determine sample sizes and allocations to meet precision and budget targets.
- • Develop questionnaires and instruments; conduct cognitive testing and pilots.
- • Plan and manage multimode data collection (web, phone, mail, in-person).
- • Create base weights and adjust for nonresponse; calibrate/rake to benchmarks.
- • Assess and mitigate coverage, nonresponse, and measurement errors.
- • Implement item imputation methods; document and evaluate impacts.
- • Estimate variances for complex samples using Taylor and replication methods.
- • Specify estimation procedures and produce estimates with margins of error.
- • Analyze paradata and run methodological experiments to improve survey performance.
- • Evaluate sources and frames for completeness, reliability, and usability.
- • Oversee data cleaning, editing, and validation workflows.
- • Apply disclosure avoidance and confidentiality controls to microdata and tables.
- • Integrate administrative or auxiliary data to enhance frames, weighting, or estimation.
- • Analyze and interpret survey results to identify trends and relationships.
- • Prepare methodology statements, technical reports, codebooks, and papers.
- • Develop reproducible code and tools for survey processing and analysis (e.g., R, Python, SAS, SQL).
- • Present findings and methods using tables, charts, and dashboards to varied audiences.
- • Determine appropriate statistical methods based on research needs and design constraints.
- • Train and supervise staff collecting, coding, and tabulating survey data.
Related specializations
Interview options
Interview options
Interviewee gender
Interviewee accent
Interview time
Source
Tasks & skills:
O*NET occupational data (work activities, skills, knowledge).
Learn more
Sources & Standards:
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
