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Automation Risk Analysis

Will “Customer Data Technician” be Automated?

Historical Context: Oxford Study (2013)

Ranked #366 of 702. Estimated risk: 66.0%

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AI Exposure Risk

58%

“Customer Data Technician” will maybe be replaced by AI.

Based on the cognitive demands, communication requirements, and logical reasoning intrinsic to this occupation according to O*NET data, we project a 58% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

26%

“Customer Data Technician” will almost certainly not be replaced by robots.

Evaluating the physical dexterity, repetitive motion tasks, and manual labor associated with this role, our analysis indicates a 26% likelihood of substitution by advanced robotics systems.

Personal & Financial Insights

Every occupation has a unique profile. For Statistical Assistants, the Bureau of Labor Statistics and O*NET classify the day-to-day work broadly as: 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.

Avg. Annual Salary $55,470
Avg. Hourly Wage $26.67
Available Jobs (US) 5,900
Job Title & Hierarchy Code (SOC) Statistical Assistants #43-9111
Wage vs. National Median
ℹ️

Data is based on the reference occupation: “Statistical Assistants”

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Core Skills & Abilities

  • Enter data into computers for use in analyses or reports.

  • Organize paperwork, such as survey forms or reports, for distribution or analysis.

  • Code data prior to computer entry, using lists of codes.

  • Compile reports, charts, or graphs that describe and interpret findings of analyses.

  • Interview people and keep track of their responses.

  • Participate in the publication of data or information.

  • Send out surveys.

  • Check survey responses for errors, such as the use of pens instead of pencils, and set aside response forms that cannot be used.

  • File data and related information, and maintain and update databases.

  • Discuss data presentation requirements with clients.

  • Check source data to verify completeness and accuracy.

  • Compute and analyze data, using statistical formulas and computers or calculators.

  • Compile statistics from source materials, such as production or sales records, quality-control or test records, time sheets, or survey sheets.

  • Select statistical tests for analyzing data.

Technologies & Software

  • Grok (xAI)
  • Oracle PL/SQL
  • The MathWorks MATLAB
  • Harvard Graphics
  • Notion AI
  • Otter.ai
  • Microsoft PowerPoint
  • Microsoft Visual Basic
  • Wolfram Research Mathematica
  • Minitab
  • Bentley MicroStation
  • Microsoft Office software
  • A programming language APL
  • Microsoft Active Server Pages ASP
  • Google Workspace software
  • Claude (Anthropic)
  • Llama (Meta)
  • C#
  • UiPath (RPA + AI)
  • Kimi (Moonshot AI)
  • Oracle Java
  • Hyland OnBase Enterprise Content Management
  • Microsoft Excel
  • R
  • Insightful S-PLUS
  • Web browser software
  • Corel WordPerfect Office Suite
  • Towers Perrin MoSes
  • dBASE
  • Mistral (Mistral AI)
  • Database software
  • GGY AXIS
  • Benfield ReMetrica
  • Microsoft Copilot
  • Microsoft Word
  • SAS
  • DeepSeek
  • Nova (Amazon)
  • Data visualization software
  • Microsoft Access
  • StataCorp Stata
  • Perplexity AI
  • Zapier AI
  • C++
  • Gemini for Workspace
  • Microsoft Visual Studio
  • Microsoft Outlook
  • ChatGPT (OpenAI)
  • Software development tools
  • Structured query language SQL
  • Systat Software SigmaStat
  • Word processing software
  • Qwen (Alibaba)
  • Python
  • IBM Lotus 1-2-3
  • IBM SPSS Statistics
  • Tableau
  • QSR International NVivo
  • Avidian Technologies Prophet
  • STATISTICA
  • Gemini (Google)
  • PolySystems Asset Delphi
  • SAP BusinessObjects Crystal Reports
  • Grammarly AI
  • Napkin AI
  • Desktop computers
  • Graphing calculators
  • 10-key calculators
  • Liquid crystal display LCD video projectors
  • Laptop computers
  • Universal serial bus USB flash drives
  • Personal computers
  • Supercomputers