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Automation Squad

Role

AI for Statistical Assistants

Robert MacKelfresh

By Robert MacKelfresh

Founder, Automation Squad

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.

Statistical Assistants · O*NET 43-9111.00 · Job Zone 4 · sourced from the U.S. Department of Labor occupation database

Automation coverage

16 of 40tools on this list have an AI solution available today

Counted by matching the tools this occupation is documented as using against a corpus of 226,452 AI products, MCP servers, skills and connectors. Where a tool has no match, we say so rather than inventing one.

AI you can use for this job

30 matched to the tools statistical assistants use. Showing 24.

  • Microsoft Outlook is a web-based suite of webmail, contacts, tasks, and calendaring services.

    Microsoft Outlook

  • Tableau

    MCP server
  • Tableau is a business intelligence and analytics platform that enables users to connect to databases, create data visualizations, and share insights. The platform offers deployment options including cloud-based, self-hosted, and desktop environments with drag-and-drop functionali

    Make (make.com)

  • Microsoft Excel

    MCP server

    Microsoft's Excel is a spreadsheet application used by millions of users across the world. It is part of the Office ecosystem and is considered the industry standard for spreadsheets. Only files on OneDrive for Business (available with Office 365 and Sharepoint server) are su

    Microsoft Excel

  • Microsoft Word

    MCP server
  • Office Word

    MCP server
  • Powerpoint

    MCP server
  • Make (make.com)

  • Excel

    Skill
  • Excel

    MCP server
  • Google Workspace is a suite of applications from Google which offers a number of tools to communicate and collaborate with colleagues, store files, and manage data from all devices.

  • Matlab

    Skill
  • Make (make.com)

  • Minitab Statistical Software helps organizations analyze data, improve quality, and make data-driven decisions with powerful statistical tools, predictive analytics, and both desktop and cloud-based access.

  • Make (make.com)

The tools this job actually uses

45 documented for this occupation. Showing 40, hot technologies first. A filled dot means an AI solution exists for it.

  • Bentley MicroStationhot
  • Chot
  • Chot
  • Google Workspace softwarehot
  • IBM SPSS Statisticshot
  • Microsoft Accesshot
  • Microsoft Active Server Pages ASPhot
  • Microsoft Excelhot
  • Microsoft Office softwarehot
  • Microsoft Outlookhot
  • Microsoft PowerPointhot
  • Microsoft Visual Basichot
  • Microsoft Visual Studiohot
  • Microsoft Wordhot
  • Oracle Javahot
  • Oracle PL/SQLhot
  • Pythonhot
  • Rhot
  • SAShot
  • Structured query language SQLhot
  • Tableauhot
  • The MathWorks MATLABhot
  • A programming language APL
  • Avidian Technologies Prophet
  • Benfield ReMetrica
  • Corel WordPerfect Office Suite
  • Data visualization software
  • Database software
  • dBASE
  • GGY AXIS
  • Harvard Graphics
  • Hyland OnBase Enterprise Content Management
  • IBM Lotus 1-2-3
  • Insightful S-PLUS
  • Minitab
  • PolySystems Asset Delphi
  • QSR International NVivo
  • SAP BusinessObjects Crystal Reports
  • Software development tools
  • StataCorp Stata

What this job involves

16 documented tasks, most important first. Showing 16.

  1. Compute and analyze data, using statistical formulas and computers or calculators.
  2. Check source data to verify completeness and accuracy.
  3. Enter data into computers for use in analyses or reports.
  4. Compile reports, charts, or graphs that describe and interpret findings of analyses.
  5. Interview people and keep track of their responses.
  6. Participate in the publication of data or information.
  7. File data and related information, and maintain and update databases.
  8. Organize paperwork, such as survey forms or reports, for distribution or analysis.
  9. Check survey responses for errors, such as the use of pens instead of pencils, and set aside response forms that cannot be used.
  10. Select statistical tests for analyzing data.
  11. Code data prior to computer entry, using lists of codes.
  12. Compile statistics from source materials, such as production or sales records, quality-control or test records, time sheets, or survey sheets.
  13. Discuss data presentation requirements with clients.
  14. Send out surveys.
  15. Present results of statistical analyses to stakeholders.
  16. Write code for statistical applications.