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Marketing

Market Research Analyst

Based on 35 assessments

47% Moderate risk

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

Raw potential
74%
Realistic risk
47%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context.

Distribution across 35 profiles. Middle half of Market Research Analysts score between 43% and 53%.

0% 50% 100%
p10 · 37%
55% · p90
On-screen work 68%

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 0%

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

Fully in-person 7%

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

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

Task Time Type Exposure
Collecting and compiling data from various online databases, industry reports, and surveys to gather market statistics and trends
25% AD 34%
Analyzing market data using statistical tools (e.g., regression analysis, segmentation) to identify patterns, trends, or insights
24% DD 66%
Creating visual reports (e.g., charts, graphs, dashboards) to present findings to stakeholders or clients in an easy-to-understand format
deep expertise social element
15% DD 25%
Meeting with clients or internal teams to discuss research objectives, present findings, or refine project scopes based on feedback
deep expertise
14% AA 0%
Writing detailed reports or summaries that interpret data findings, explain implications, and provide actionable recommendations for business decisions
deep expertise social element
10% DD 30%
Conducting primary research, such as designing and distributing surveys or interviews to gather direct feedback from consumers or industry experts
deep expertise
7% AD 4%
Cleaning and organizing raw data (e.g., removing duplicates, correcting errors, standardizing formats) to prepare it for analysis
1% DD 86%

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