Skip to content
Automation Squad

Role

AI for Statisticians

Robert MacKelfresh

By Robert MacKelfresh

Founder, Automation Squad

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.

Statisticians · O*NET 15-2041.00 · Job Zone 5 · sourced from the U.S. Department of Labor occupation database

Automation coverage

12 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

27 matched to the tools statisticians use. Showing 24.

  • 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)

  • 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
  • Powerpoint

    MCP server
  • Amazon Redshift

    MCP server

    Amazon Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyze all your data across your data warehouse and data lake.

    Amazon Redshift

  • Excel

    Skill
  • Excel

    MCP server
  • Matlab

    Skill
  • Make (make.com)

  • 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)

  • Qlik

    Connector

    Analyze, integrate, and take action on your data

    Qlik

  • Qlik Sense

    MCP server
  • SAP S/4HANA

    MCP server

    SAP S/4HANA is an intelligent ERP suite that helps businesses manage finance, supply chain, manufacturing, and operations in real time.

    SAP S/4HANA

  • Make (make.com)

The tools this job actually uses

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

  • Amazon Redshifthot
  • Amazon Web Services AWS softwarehot
  • Apache Hadoophot
  • Apache Sparkhot
  • Chot
  • Extensible markup language XMLhot
  • IBM DB2hot
  • IBM SPSS Statisticshot
  • Linuxhot
  • Microsoft Accesshot
  • Microsoft Excelhot
  • Microsoft Office softwarehot
  • Microsoft PowerPointhot
  • Microsoft SQL Serverhot
  • Microsoft Visual Basichot
  • Microsoft Visual Basic for Applications VBAhot
  • Microsoft Wordhot
  • Pythonhot
  • Rhot
  • SAP softwarehot
  • SAShot
  • Structured query language SQLhot
  • Tableauhot
  • Teradata Databasehot
  • The MathWorks MATLABhot
  • UNIXhot
  • Angoss KnowledgeSEEKER
  • Apache Pig
  • Aptech Systems GAUSS
  • Automatic Forecasting Systems Autobox
  • Camfit Data Limited Microfit
  • Common business oriented language COBOL
  • Cytel StatXact
  • DataDescription DataDesk
  • Econometric Software LIMDEP
  • Formula translation/translator FORTRAN
  • GraphPad Software GraphPad Prism
  • IBM SPSS Amos
  • IBM SPSS AnswerTree
  • Insightful S-PLUS

What this job involves

19 documented tasks, most important first. Showing 19.

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