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Business Analyst

Based on 38 assessments

40% Moderate risk

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

Raw potential
65%
Realistic risk
40%
Research benchmark ?
63%

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

Distribution across 38 profiles. Middle half of Business Analysts score between 37% and 44%.

0% 50% 100%
p10 · 33%
47% · p90
On-screen work 54%

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

In-person + screen 26%

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

Computer + action 10%

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

Fully in-person 10%

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

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

Task Time Type Exposure
Facilitating meetings or workshops between business stakeholders and technical teams to clarify requirements, resolve conflicts, or prioritize features
deep expertise
37% AA 8%
Gathering and documenting business requirements from stakeholders through interviews, workshops, and surveys to define project scope and objectives
deep expertise
31% AD 18%
Analyzing and modeling business processes to identify inefficiencies, bottlenecks, or opportunities for improvement using tools like flowcharts, swimlane diagrams, or BPMN
10% DD 58%
Preparing and delivering presentations or reports to communicate findings, recommendations, or project updates to executives, managers, or other stakeholders
some context needed
8% DA 12%
Supporting user acceptance testing (UAT) by coordinating test scenarios, validating results, and documenting defects or issues for resolution
4% AD 27%
Performing data analysis on business metrics, financial reports, or operational data to identify trends, patterns, or insights using tools like Excel, SQL, or BI platforms (e.g., Tableau, Power BI)
4% DD 97%
Creating detailed functional specifications or user stories for software development teams, outlining system behaviors, data requirements, and acceptance criteria
1% DD 55%
Conducting gap analysis between current business processes and desired future states, recommending solutions such as software, process changes, or organizational adjustments
1% DD 52%

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