Will AI Steal My Job? · Role analysis

Market Research
Analyst

O*NET 19-3021.00 ESCO: Market research analysts
Changing

Market research analysts gather, analyse, and interpret data about markets, consumers, competitors, and commercial trends — providing the intelligence that informs product development, pricing, marketing strategy, and business decisions. They combine quantitative data analysis with qualitative consumer insight to help organisations understand and respond to their markets.

Task Map

TaskAI impactWhy
Conduct secondary research and desk research 🔴 High exposure AI research tools synthesise information from multiple sources rapidly. The secondary research and desk research that once consumed significant analyst time — compiling market data, competitor information, and industry reports — is heavily AI-accelerated.
Design surveys and quantitative research instruments 🟡 Changing AI assists with survey design, but the judgment about which questions will generate actionable insights — and which question wordings will introduce bias — requires methodological expertise and research experience.
Analyse quantitative data and run statistical analysis 🟡 Changing AI tools perform statistical analysis and surface patterns automatically, but designing the right analysis for a specific research question and interpreting results in business context requires analytical expertise and judgment.
Conduct qualitative research and focus groups 🟢 Safe Moderating focus groups, conducting depth interviews, and extracting genuine insight from qualitative research requires the human skills of active listening, probing, and building enough rapport to get honest answers.
Analyse and code qualitative data 🟡 Changing AI tools categorise and theme qualitative data at scale, but the analytical judgment about what themes are meaningful — and what nuances the categories miss — requires interpretive skill and research experience.
Write research reports and present findings 🟡 Changing AI drafts research report sections well, but the synthesis that connects disparate findings into coherent, actionable insight — and the judgment about what findings are most important — requires analytical and communication skill.
Translate research into strategic recommendations 🟢 Safe The market researcher who can take complex findings and translate them into clear, prioritised business recommendations — understood and acted on by leadership — is providing strategic advisory value that goes beyond data analysis.
Monitor competitor and market developments 🟡 Changing AI monitoring tools track competitor activity and market signals automatically, but synthesising these into a strategic picture of what's changing and why requires human analytical judgment.

What Stays Human

What to Do Next

  1. Develop consumer insight strategy and consultancy skills. The market researcher who transitions from conducting studies to advising on research strategy — helping clients design their insight programmes, not just delivering individual projects — is doing higher-value work that commands significant consulting premiums. MRS (Market Research Society) qualifications and fellowship provide the professional credibility for this senior positioning.
  2. Build expertise in behavioural science and decision research. Understanding how consumers actually make decisions — applying insights from behavioural economics and psychology to research design and strategic recommendations — is a growing specialism that differentiates insight professionals from straightforward data analysts. This expertise is in demand in financial services, public health, and consumer goods.
  3. Develop advanced data analytics and research technology skills. Market researchers who combine traditional research methods with data science capabilities — social listening, web analytics, first-party data analysis — are providing integrated insight that bridges qualitative and quantitative methods. R, Python, and tools like Brandwatch or Sprinklr extend the research toolkit significantly.
Sources: O*NET Online (onetonline.org) · ESCO (esco.ec.europa.eu) · All task data cross-referenced against O*NET occupation profiles. This analysis uses task-level exposure, not occupation-level prediction.