Skip to content
Singulariki

Tellers vs Credit Analysts

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Tellers and Credit Analysts on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”

Tellers Credit Analysts
Median pay · BLS OEWS
$39,340
$80,970
Employment · BLS OEWS
339,340
67,370
AI exposure (percentile) · task overlap, not automation
80th pct
55th pct

At a glance

Dimension Tellers Credit Analysts
Median pay $39,340 $80,970
Employment 339,340 67,370
Employment outlook (2024–34) · BLS projection Declining (-12.9%) Declining (-4.4%)
Annual openings · BLS projection 29,800 3,700
Typical education · O*NET Usually requires a high school diploma or GED, though some occupations may not. Most of these occupations require a four-year bachelor's degree, but some do not.
AI exposure · published exposure studies High · 80th pct Moderate · 55th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 96th pct · 58% of tasks 99th pct · 62% of tasks
Observed AI use · Anthropic Economic Index Automation-leaning (50.0%) Automation-leaning (35.4%)
Mostly remote-capable · Dingel–Neiman No Yes

Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.

Skills

Shared: Oral Comprehension, Customer and Personal Service, Oral Expression, Number Facility, Speech Recognition, Speech Clarity, English Language, Problem Sensitivity, Information Ordering, Active Listening, Near Vision, Mathematics, Speaking, Written Comprehension, Written Expression, Selective Attention, Reading Comprehension, Critical Thinking, Monitoring, Social Perceptiveness, Service Orientation, Deductive Reasoning, Mathematical Reasoning, Economics and Accounting, Writing, Mathematics, Time Management, Inductive Reasoning, Category Flexibility, Perceptual Speed, Administration and Management, Active Learning, Complex Problem Solving, Judgment and Decision Making, Fluency of Ideas, Flexibility of Closure.

Specific to Tellers

  • Public Safety and Security
  • Coordination
  • Instructing
  • Time Sharing

Specific to Credit Analysts

  • Law and Government
  • Administrative
  • Computers and Electronics
  • Systems Analysis

Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).

Tools & technology

Shared: Office suite software , Spreadsheet software , Electronic mail software , Presentation software , Word processing software , Document management software , Enterprise resource planning ERP software , Data base user interface and query software .

Full profiles

This page is a summary. See the complete source-backed profile for Tellers or Credit Analysts — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.

More comparisons

Related occupations you can place side by side on the same sourced scale.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Tellers vs Credit Analysts." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/tellers-vs-credit-analysts

APA

Singulariki. (2026). Tellers vs Credit Analysts. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/tellers-vs-credit-analysts

BibTeX
@misc{singulariki-tellers-vs-credit-analysts,
  title  = {Tellers vs Credit Analysts},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/compare/tellers-vs-credit-analysts}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.