Role Definition
| Field | Value |
|---|---|
| Job Title | Market Research Analyst |
| SOC Code | 13-1161 |
| Seniority Level | Mid-Level |
| Primary Function | Designs and conducts research to assess market conditions, competitive landscapes, and consumer behaviour. Gathers data through surveys, focus groups, and secondary sources. Analyses data using statistical techniques, interprets results, and presents actionable insights to business decision-makers. The analytical bridge between raw market data and strategic business decisions. |
| What This Role Is NOT | Not a Marketing Manager (SOC 11-2021, strategic oversight, budget authority, campaign execution). Not a Data Scientist (SOC 15-2051, deeper ML/statistical modeling, broader scope — scored 19.0 Red). Not a Management Analyst (SOC 13-1111, operational efficiency focus — scored 26.4 Yellow Urgent). |
| Typical Experience | 2-5 years. Bachelor's degree typical (57% hold one), with 39% holding master's degrees. No licensing requirements. Job Zone 4 (considerable preparation). |
Seniority note: Junior/entry-level research assistants would score deeper into Yellow or Red — more data entry, survey administration, and report formatting. Senior research directors who design methodologies, manage client relationships, and drive strategy would score higher Yellow or low Green due to greater judgment and client advisory depth.
Protective Principles + AI Growth Correlation
| Principle | Score (0-3) | Rationale |
|---|---|---|
| Embodied Physicality | 0 | Entirely knowledge work. Office/remote-based. Focus groups and in-person interviews are a small fraction of the role and increasingly conducted virtually. |
| Deep Interpersonal Connection | 1 | Some client interaction for project scoping and insight presentation, plus qualitative research requiring human rapport (focus groups, interviews). But the majority of work is analytical and solitary. Not therapeutic or relationship-dependent. |
| Goal-Setting & Moral Judgment | 1 | Exercises judgment in research design and insight interpretation, but works within client-defined objectives and established methodologies. Less autonomous than a marketing director. |
| Protective Total | 2/9 | |
| AI Growth Correlation | -1 | AI tools directly automate core market research workflows — data collection, survey analysis, competitive intelligence, and report generation. AI adoption compresses the role rather than creating proportional new demand. |
Quick screen result: Very low protection (2/9) with negative AI growth suggests Red or deep Yellow — a knowledge work role with minimal physical, interpersonal, or judgment barriers, where AI directly substitutes for core tasks.
Task Decomposition (Agentic AI Scoring)
| Task | Time % | Score (1-5) | Weighted | Aug/Disp | Rationale |
|---|---|---|---|---|---|
| Secondary research & data gathering | 20% | 5 | 1.00 | DISPLACEMENT | Q1: Yes. AI tools (Crayon, Klue, SimilarWeb) scrape, aggregate, and synthesise competitive intelligence, industry reports, and market data end-to-end. What took analysts days of desk research now runs continuously. |
| Primary research design & execution | 15% | 2 | 0.30 | AUGMENTATION | Q1: No. Q2: Yes. AI generates survey questions (SurveyMonkey AI, Qualtrics AI) and automates recruitment/distribution, but research methodology design — choosing between quant/qual, sampling strategy, question framing for business objectives — requires human judgment. |
| Data analysis & modelling | 25% | 3 | 0.75 | AUGMENTATION | Q1: No. Q2: Yes. AI handles statistical analysis, cross-tabulation, and pattern recognition faster than humans (Quantilope, Tableau AI, SPSS AI features). But interpreting what the patterns mean in a specific business context, identifying confounds, and validating methodology still require human analysts. |
| Insight generation & interpretation | 15% | 2 | 0.30 | AUGMENTATION | Q1: No. Q2: Yes. AI summarises findings and identifies trends, but translating data into "so what?" business insights that connect to specific strategic decisions — understanding competitive dynamics, industry nuances, and client context — requires human judgment. |
| Report writing & presentation | 15% | 4 | 0.60 | DISPLACEMENT | Q1: Partially yes. AI generates polished reports, data visualisations, and presentation decks from analytical outputs (Gamma, Tome, Tableau AI). Routine recurring reports are fully automatable. Custom strategic reports still benefit from human narrative framing. |
| Stakeholder communication & advisory | 10% | 2 | 0.20 | AUGMENTATION | Q1: No. Q2: Yes. AI can prepare briefing materials, but presenting findings to executives, fielding questions, adjusting recommendations based on political context, and building client trust require human presence and business judgment. |
| Total | 100% | 3.15 |
Task Resistance Score: 6.00 - 3.15 = 2.85/5.0
Displacement/Augmentation split: 35% displacement, 65% augmentation, 0% not involved.
Reinstatement check (Acemoglu): AI creates some new tasks — AI tool evaluation, prompt engineering for research workflows, AI output validation — but these are lightweight additions that don't constitute new full-time roles. They accrue to surviving analysts as added responsibilities, not as net new headcount. Reinstatement is negligible.
Evidence Score
| Dimension | Score (-2 to 2) | Evidence |
|---|---|---|
| Job Posting Trends | 0 | BLS projects 7% growth 2024-2034 ("much faster than average") with 87,200 annual openings across 941,700 employed. O*NET designates Bright Outlook. However, "marketing specialist" is a broad category that includes digital marketing, analytics, and AI-adjacent roles — growth may concentrate in those areas, not traditional market research. Neutral. |
| Company Actions | 0 | Ipsos announced AI automation of open-ended survey analysis. No major research firm has announced mass analyst layoffs. The industry is adopting AI as augmentation (faster delivery, lower cost per project) rather than headcount reduction — for now. Neutral. |
| Wage Trends | 0 | Median $37.00/hr ($76,950/yr), well above the US median. No significant wage pressure visible. The role's analytical skill base commands healthy compensation. Neutral. |
| AI Tool Maturity | -1 | Production-grade tools cover the full research workflow: Quantilope (AI-powered consumer research), Crayon/Klue (competitive intelligence), Attest (AI consumer surveys), SurveyMonkey AI (survey design/analysis), Tableau AI (visualisation), GWI (audience intelligence). These are deployed at scale, not experimental. |
| Expert Consensus | 0 | McKinsey identifies market research as moderate automation exposure. Forrester and Gartner acknowledge AI transformation of the insights function but emphasise the "insight interpretation" gap that humans still fill. Mixed signals on headcount impact. |
| Total | -1 |
Barrier Assessment
Reframed question: What prevents AI execution even when programmatically possible?
| Barrier | Score (0-2) | Rationale |
|---|---|---|
| Regulatory/Licensing | 0 | No licensing requirement for market research analysts. No regulatory barrier prevents AI from conducting research. |
| Physical Presence | 0 | Entirely knowledge work. Most tasks can be performed remotely. In-person focus groups and interviews are a small and declining fraction. |
| Union/Collective Bargaining | 0 | Market research analysts are not unionised. No collective bargaining protection. |
| Liability/Accountability | 0 | Research errors can have business consequences (bad product launches, misread markets), but liability is diffuse — it attaches to the organisation's decision-makers, not the analyst. No legal accountability framework protects the role. |
| Cultural/Ethical | 0 | No cultural resistance to AI-assisted research. Clients care about speed, accuracy, and cost — not whether a human or AI gathered the data. The trend is toward faster, cheaper AI-powered research. |
| Total | 0/10 |
AI Growth Correlation Check
AI growth reduces demand for traditional market research analysts. AI tools directly automate the data collection, analysis, and reporting workflow that constitutes 60% of the role. Every AI-powered research platform markets features that explicitly compress the analyst headcount needed per project. The remaining demand is for insight interpretation and strategic advisory — valuable work, but requiring fewer analysts per dollar of research output. Score confirmed at -1.
JobZone Composite Score (AIJRI)
| Input | Value |
|---|---|
| Task Resistance Score | 2.85/5.0 |
| Evidence Modifier | 1.0 + (-1 × 0.04) = 0.96 |
| Barrier Modifier | 1.0 + (0 × 0.02) = 1.00 |
| Growth Modifier | 1.0 + (-1 × 0.05) = 0.95 |
Raw: 2.85 × 0.96 × 1.00 × 0.95 = 2.5992
JobZone Score: (2.5992 - 0.54) / 7.93 × 100 = 26.0/100
Zone: YELLOW (Yellow 25-47)
Sub-Label Determination
| Metric | Value |
|---|---|
| % of task time scoring 3+ | 60% |
| AI Growth Correlation | -1 |
| Sub-label | Urgent (60% ≥ 40% threshold) |
Assessor override: None — formula score accepted. At 26.0, market research analysts sit just 1 point above the Red threshold (25). The score is almost identical to Financial Analyst (26.4) and Management Analyst (26.4) — analytical knowledge work roles with similar AI exposure profiles. The zero barriers (no licensing, no physical work) mean there is nothing structural preventing AI from executing these tasks as tools mature.
Assessor Commentary
Score vs Reality Check
The Yellow (Urgent) classification at 26.0 sits just 1 point above Red. This borderline position is correct — the role has slightly more human-judgment-dependent work than Red-zone analysts (primary research design and stakeholder advisory protect it), but zero structural barriers mean that protection rests entirely on task complexity, not on any external shield. The 7% BLS growth masks a shift: growth is in data-driven marketing specialists and analytics roles, not traditional survey-and-report market research.
What the Numbers Don't Capture
- "Marketing Specialist" SOC conflation: SOC 13-1161 bundles market research analysts with marketing specialists — a much broader category including digital marketing, content strategy, and growth marketing. BLS growth rates and employment counts reflect this blended category, not traditional market research specifically.
- Project compression, not role elimination: AI doesn't remove market research analysts — it makes each analyst 3-5x more productive. A team of 8 analysts producing 50 reports/quarter becomes 3 analysts producing 80 reports/quarter with AI tools. The headcount reduction is real but masked by project volume growth.
- Client expectation acceleration: As AI-powered research becomes instant and cheap, clients expect faster turnaround and lower fees. This compresses margins and headcount simultaneously — firms need fewer analysts billing fewer hours per project.
Who Should Worry (and Who Shouldn't)
Analysts focused on secondary research, data tabulation, and routine report production are most at risk — these tasks are already automated by Crayon, Quantilope, and Tableau AI. Analysts who specialise in qualitative research (moderating focus groups, conducting ethnographic studies, interpreting cultural nuances) have more runway because human rapport and contextual judgment are harder to automate. The safest market research analysts are those who function as strategic advisors — embedded with clients, shaping research questions, connecting insights to business strategy, and presenting recommendations to C-suite executives. The single factor that separates safe from at-risk is whether your value comes from producing research or from interpreting it for decision-makers.
What This Means
The role in 2028: The surviving market research analyst is a research strategist who designs methodologies, interprets AI-generated insights, and advises clients on strategic decisions. Routine data collection, analysis, and reporting will run on AI-powered platforms with minimal human oversight. Teams will shrink 40-60% while output volume increases.
Survival strategy:
- Become the insight interpreter, not the data processor — focus on translating analytical outputs into strategic business recommendations that require industry knowledge and contextual judgment
- Master AI research platforms (Quantilope, Crayon, Tableau AI, Qualtrics) — become the analyst who configures, validates, and orchestrates AI tools rather than competing with them
- Deepen qualitative research skills — ethnographic research, in-depth interviews, and focus group moderation require human rapport and cultural sensitivity that AI cannot replicate
Where to look next. If you're considering a career shift, these Green Zone roles share transferable skills with market research:
- Compliance Manager (Senior) (AIJRI 48.2) — regulatory research, evidence gathering, data analysis, and stakeholder reporting transfer directly; compliance investigation methodology parallels research methodology
- AI Auditor (Mid) (AIJRI 64.5) — analytical methodology design, quantitative assessment, bias testing, and evidence-based recommendation frameworks leverage core market research competencies
- AI Governance Lead (Mid) (AIJRI 72.3) — policy research, stakeholder advisory, and evidence-based governance frameworks require the same consultative analytical skills; AI regulation creates growing demand
Browse all scored roles at jobzonerisk.com to find the right fit for your skills and interests.
Timeline: 2-4 years. AI research tools are in production at every major research firm. The compression is accelerating as clients demand faster, cheaper insights and AI platforms deliver.
