Career Escape
Moving from market research analyst to library science professor, by the occupational data
Both occupations are described by the same O*NET 30.3 rating system, which makes them directly comparable: the same requirements, rated for each. What follows is that comparison for market research analysts and Library Science Teachers, Postsecondary, not an opinion about whether the move is a good idea.
Can a market research analyst become a library science professor?
O*NET 30.3 rates 60% of what matters to either market research analyst work or library science professor work as mattering to both, which is a real overlap with a real remainder. The requirements that carry across include Performing Administrative Activities, Providing Consultation and Advice to Others, Sociology and Anthropology. It sits at Job Zone 5 against Job Zone 4 for market research analysts, which usually means a further credential, a licence, or a longer runway of experience. BLS lists doctoral or professional degree as the typical entry education here, against bachelor's degree for market research analysts. What would be new concentrates in work activities: Training and Teaching Others, Evaluating Information to Determine Compliance with Standards. On BLS 2025 figures the two occupations sit at close to the same national median wage, $78,760 against $80,340. BLS projects employment in the destination occupation to grow 2.7% between 2025 and 2035, with about 300 openings a year on average. O*NET describes the destination as follows: Teach courses in library science. This compares two occupations, not two people, and says nothing about whether any individual would be hired.
- Weighted overlap
- 60% of the requirements important to either occupation are important to both, with 2 of those shared requirements classed as distinctive rather than near-universal.
- Preparation level
- O*NET Job Zone 5, against Job Zone 4 for market research analysts. Typically 2 levels of further education.
- Typical entry education (BLS)
- Doctoral or professional degree, against Bachelor's degree for market research analysts.
- Prior experience typically expected
- None, with no on-the-job training category assigned.
- Where the overlap is strongest
- Knowledge, with 2 distinctive requirements important to both. Requirements that carry over include Performing Administrative Activities, Providing Consultation and Advice to Others, Sociology and Anthropology.
- Independent corroboration
- O*NET does not list this as directly related to the source occupation; it appears one step out, related to a related occupation. The overlap measure and the relatedness file disagree here, and both are shown rather than one being quietly dropped.
Source and method
O*NET 30.3 Database, with BLS Employment Projections Table 5.4. Verified 2026-09-02. Importance ratings, Job Zones and occupational titles are read from O*NET. Typical entry education, prior experience and on-the-job training are read from BLS. The weighted overlap percentage, the distinctive-requirement counts, and the shared and new requirement lists are computed by RoleSprint from those inputs using the method published at /career-change/methodology.
Career transition data
Market Research Analyst to Library Science Teachers, Postsecondary
- Work activities overlapderived
- 67%
- Knowledge overlapderived
- 53%
- Transferable skills overlapderived
- 59%
- Essential skills overlapderived
- 65%
- Job Zone
- 4 to 5
- Median annual wage, 2025
- $78,760 to $80,340
- Wage differencederived
- +$1,580 (+2%)
- Projected employment change, 2025–35
- +2.7%
- Annual openings, 2025–35 average
- 300
- Typical entry education
- Doctoral or professional degree
Largest transferable capability: Computers and Electronics
Largest new demand: Training and Teaching Others
Source. Job Zone and requirement ratings: O*NET 30.3. Wage, employment projections, openings and entry education: BLS Employment Projections Table 1.2, projections 2025–35, wage year 2025. RoleSprint-derived. Overlap percentages and the wage difference are calculated by RoleSprint from those published values. Limitation. These are national occupational statistics for two occupations. The wage figure is not a salary you would be offered, employment growth is not job security, and overlap is not a likelihood of being hired. Fields BLS does not publish for an occupation are omitted rather than estimated.
What carries over
Requirements O*NET rates as important for both market research analysts and library science professors, by domain. Most distinctive first, so the top of each list is the part that is actually worth putting on a resume.
Work activities
23 of 29 work activities important to either occupation are important to both.
- Performing Administrative Activities3.1 for market research analysts, 3.1 here
- Providing Consultation and Advice to Others3.9 for market research analysts, 3.7 here
- Guiding, Directing, and Motivating Subordinates3.0 for market research analysts, 3.0 here
- Coaching and Developing Others3.0 for market research analysts, 4.0 here
- Developing Objectives and Strategies4.1 for market research analysts, 4.0 here
Knowledge
7 of 12 knowledge areas important to either occupation are important to both.
- Sociology and Anthropology3.2 for market research analysts, 3.5 here
- Communications and Media3.5 for market research analysts, 3.6 here
- Psychology3.2 for market research analysts, 3.4 here
- Computers and Electronics3.2 for market research analysts, 4.2 here
- Administration and Management3.7 for market research analysts, 3.2 here
Transferable skills
7 of 10 transferable skills important to either occupation are important to both.
- Systems Evaluation3.1 for market research analysts, 3.1 here
- Systems Analysis3.1 for market research analysts, 3.1 here
- Social Perceptiveness3.1 for market research analysts, 3.3 here
- Complex Problem Solving3.9 for market research analysts, 3.6 here
- Coordination3.0 for market research analysts, 3.1 here
Essential skills
8 of 9 essential skills important to either occupation are important to both.
- Learning Strategies3.0 for market research analysts, 4.0 here
- Active Learning3.5 for market research analysts, 4.0 here
- Writing4.0 for market research analysts, 4.0 here
- Reading Comprehension4.0 for market research analysts, 4.1 here
- Monitoring3.3 for market research analysts, 4.0 here
Numbers are O*NET Importance, on a 1 to 5 scale. A requirement counts as important at 3.0 and above, which is the threshold the whole comparison uses.
What would be new
Requirements important for library science professors and not important for market research analysts. This is the part you would have to be able to evidence, and it is usually the real obstacle rather than the job title.
Work activities
2 work activities rated important here and not for market research analysts.
- Training and Teaching Others4.8 here, 2.8 for market research analysts
- Evaluating Information to Determine Compliance with Standards3.2 here, 3.0 for market research analysts
Knowledge
1 knowledge areas rated important here and not for market research analysts.
- Education and Training4.5 here, 2.7 for market research analysts
Transferable skills
2 transferable skills rated important here and not for market research analysts.
- Instructing4.3 here, 2.8 for market research analysts
- Service Orientation3.0 here, 2.9 for market research analysts
Practical caveats for this move
Specific to this pair, and worth reading before treating any of the above as a plan.
- The preparation gap is real: Library Science Teachers, Postsecondary sits a Job Zone above market research analysts, and Job Zone differences usually show up as a licence or a credential rather than as extra experience. Check the licensing rules in your state before anything else.
- BLS records no prior experience in a related occupation as typical for this role, which makes the requirement lists above the more useful guide to what a posting will ask for.
- O*NET does not list this destination as directly related to your current occupation. It reached this map through the requirement overlap, one step out. That is a weaker corroboration than a directly related occupation, and it is shown rather than hidden.
- None of this accounts for licensing, geography, pay, hiring volume, or whether you would want the work. Occupational data describes the job. It does not describe the market for it, and it does not describe you.
How this move compares with the alternatives
This page is one move. The Opportunity Atlas puts every destination mapped from market research analysts side by side on skills overlap, day-to-day work, wage, projected growth, openings and the size of the training step.
It does not rank them, because the dimensions genuinely disagree: measured across every transition published here, how much your skills carry over and how much your knowledge carries over are close to unrelated. You choose which one matters and it orders by that.
Compare the alternatives in the Opportunity AtlasThe destination occupation, as O*NET describes it
Teach courses in library science. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.
O*NET-SOC 25-1082.00. Full title: Library Science Teachers, Postsecondary. Where this page uses the shorter phrase “library science professor”, that is a common name for readability, not a separate occupational classification.
This page includes information from the O*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. RoleSprint has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Analysis generated 2026-09-02 from the O*NET 30.3 Database. Entry education, work experience, and on-the-job training are reproduced from BLS Employment Projections Table 5.4, Education and training assignments by detailed occupation, 2024, published by the U.S. Bureau of Labor Statistics.
What to do next
Occupational data compares two jobs. It cannot tell you whether one specific employer would consider you, and this is the point where most people stop reading data and start applying blind.