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Junior Business Analyst

Based on 10 assessments

31% Moderate risk

Average realistic automation risk across all Junior Business Analyst profiles in the dataset.

Raw potential
65%
Realistic risk
31%
Research benchmark ?
50%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 10 profiles. Middle half of Junior Business Analysts score between 27% and 33%.

0% 50% 100%
p10 · 27%
34% · p90
On-screen work 51%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 36%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 0%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 13%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Junior Business Analyst, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Create data models, process flow diagrams, and wireframes using tools like Visio, Lucidchart, or Figma to visualize solutions
deep expertise social element
22% DD 25%
Gather requirements from stakeholders through meetings, emails, and surveys; document business needs and translate them into functional specifications
deep expertise
21% AD 12%
Write and review requirements documents, user stories, and test cases; ensure clarity and alignment with stakeholders
20% DD 53%
Query databases and analyze datasets using SQL or Excel to identify trends, inefficiencies, and opportunities for improvement
deep expertise
12% DD 33%
Attend status meetings, demos, and reviews with development teams, product managers, and business leads to track progress and resolve blockers
deep expertise
11% AA 3%
Conduct gap analysis comparing current state processes to proposed solutions; recommend process improvements and system enhancements
deep expertise social element
9% AD 17%
Support testing and UAT (user acceptance testing) by executing test scenarios, documenting bugs, and validating that solutions meet requirements
2% AD 30%

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