Market Research Analysts and Marketing Specialist (13-1161.00)
  Career Family
  Business & Financial → Market Research & Marketing
  Fit Summary
  Investigative-Artistic-Enterprising blend. MBTI: INTJ/ENTP/ENFP—data meets storytelling.
  Career Overview
  Study markets and customers; design surveys/experiments, analyze data, segment audiences, and translate insights into campaigns, messaging, and product recommendations.
  Credential Pathways
  Typical Education: Bachelor’s in marketing/statistics/economics; analytics tools proficiency (Job Zone 4).
  Pathways: Analyst → senior analyst → insights manager → director of research/marketing strategy.
  Regulatory Moat: Privacy/consent for data, research ethics, and brand/IP guidelines.
  Alternative Pathways: Agency researchers to in-house; transitions from data analytics or product roles.
  Environment & Lifestyle
  
    - Work Environment: Office/hybrid; collaboration with product, sales, creative, and finance.
 
    - Sensory/Social Load: Moderate—deadlines around launches and reporting cycles.
 
    - Physicality/Fieldwork: Low.
 
    - Geographic Anchoring: Ubiquitous across industries and metros.
 
    - Remote Amenability: High—analysis/reporting remote-friendly; in-person for workshops.
 
  
  Future-Proofing Snapshot
  
    - AI Augmentation Potential: Very high — survey design aids, NLP sentiment, clustering, and MMM/attribution.
 
    - AI Displacement Risk: Low-to-medium — rote reporting automates; insight framing remains human.
 
    - AI New Task Creation: Always-on listening and synthetic panels; rapid concept testing.
 
    - AI Skill Shift Intensity: High — statistics, experimentation, and prompt/data ops.
 
    - Automation Risk Score: Medium — dashboarding automates; synthesis persists.
 
    - Human-Core Score: Strong — critical thinking and stakeholder translation.
 
    - Overall Vulnerability/Resilience: Durable for insight-driven firms.
 
    - Emerging Trends: Privacy-first analytics, causal inference, and creative testing at scale.
 
  
  Risks / Watchpoints
  
    - Data quality and bias
 
    - Attribution ambiguity
 
    - Compliance with privacy rules
 
  
  Notes on Fit
  Great for Investigative students who like turning data into decisions and clear narratives.
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