Compile and compute data according to statistical formulas for use in statistical studies. May perform actuarial computations and compile charts and graphs for use by actuaries. Includes actuarial clerks.
U.S. Workers
5,900
Median Salary
$51,440
10-Year Growth
-2.5%
Annual Openings
800
Typical entry: Bachelor's degree
14 of 14 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Compute and analyze data, using statistical formulas and computers or calculators.
AI: Fully automatable - AI and statistical software can perform computations and many types of analyses using statistical formulas reliably and at scale.
Enter data into computers for use in analyses or reports.
AI: Fully automatable - OCR, parsing, and RPA tools enable automated, accurate entry of structured and semi-structured data into systems.
Compile reports, charts, or graphs that describe and interpret findings of analyses.
AI: Fully automatable - AI can generate charts, tables, and narrative interpretations from analysis outputs and assemble them into reports with minimal human intervention.
Interview people and keep track of their responses.
AI: Fully automatable - Structured interviews and recording of responses can be fully handled by conversational agents and voice/IVR systems that log responses reliably.
File data and related information and maintain and update databases.
AI: Fully automatable - Database filing, routine maintenance, and updates can be automated via scripts and intelligent agents that handle organization and integrity checks.
Organize paperwork, such as survey forms or reports, for distribution or analysis.
AI: Fully automatable - Document classification, organization, routing, and preparation for analysis can be effectively automated with NLP and workflow automation tools.
Code data prior to computer entry, using lists of codes.
AI: Fully automatable - Mapping responses to pre-defined code lists (including OCR or digital entry) is routine and can be fully automated with current template-based and ML tools.
Compile statistics from source materials, such as production or sales records, quality-control or test records, time sheets, or survey sheets.
AI: Fully automatable - Extracting and aggregating statistics from structured and semi-structured source records is well within existing ETL, RPA, and analytics automation capabilities.
Send out surveys.
AI: Fully automatable - Distributing surveys via email, web, SMS, or panels is fully automatable with existing survey platforms and marketing automation tools.
Check source data to verify completeness and accuracy.
AI: Partial - Automated checks can detect missing values, inconsistencies, and basic errors, but full verification of source-data accuracy often requires domain knowledge or external validation.
Participate in the publication of data or information.
AI: Partial - AI can automate many publication tasks (formatting, metadata, distribution) but full participation in publication workflows often requires human oversight for legal, ethical, or editorial decisions.
Check survey responses for errors, such as the use of pens instead of pencils, and set aside response forms that cannot be used.
AI: Partial - Automated image/text analysis can detect many survey errors and flag unusable forms, but physical handling or ambiguous cases still require human intervention.
Select statistical tests for analyzing data.
AI: Partial - AI can recommend appropriate statistical tests for many common situations, but selecting the optimal test in complex or novel contexts still benefits from human statistical judgment.
Discuss data presentation requirements with clients.
AI: Partial - AI assistants can elicit and document presentation requirements, but nuanced discussion, negotiation, and relationship management typically require a human.