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Job Description: Technology Research Analyst (AI‑Native Research & Intelligence)

Experience Level: 7–10 years

About the Role

The Technology Research Analyst will be part of NITRO, EY’s Research & Experimentation Lab within Client Technology. This role is designed for a next‑generation, AI‑native researcher who blends strong technology domain expertise with the ability to leverage AI, LLMs, agentic tools, and automated insight systems across the entire research lifecycle.
The analyst will provide high‑quality, timely, and actionable insights that support product strategy, emerging tech evaluation, competitive intelligence, and innovation initiatives.

Key Responsibilities

AI‑Augmented Trend & Market Intelligence

• Continuously scan global technology ecosystems using AI‑powered research tools and autonomous agents to identify emerging technologies, trends, startups, and shifts impacting EY clients and solutions.

• Maintain always‑on, dynamic intelligence dashboards, replacing static PPT‑based outputs.

AI‑Driven Research & Insight Synthesis

• Use LLMs, RAG systems, and vector search to rapidly synthesize third‑party research (Gartner, Forrester, IDC, etc.) into high‑quality insights.

• Translate external thought leadership into internal strategic implications.

Thought Leadership & Content Development

• Produce high‑quality thought leadership, research briefs, and technology POVs using a human‑in‑the‑loop AI writing workflow.

• Support the development of future‑focused content on AI, agentic systems, emerging domains, and enterprise tech.

Competitive & Market Analysis (Automated + Analyst‑Led)

• Deploy agentic research workflows to collect competitive intelligence, product updates, pricing insights, and ecosystem shifts.

• Generate automated feature comparisons, vendor assessments, and industry benchmarking.

Tech Evaluation & Strategic Advisory

• Collaborate with Product & Innovation teams to identify potential domains for prototyping and experimentation.

• Use AI tools to accelerate feasibility assessments, solution comparisons, and build‑vs‑buy evaluations.

Research Automation & Knowledge Management

• Convert historical research into AI‑ready knowledge assets through tagging, ingestion, and structuring workflows.

• Lead adoption of AI research assistants and agent‑driven research processes for speed, accuracy, and scale.

Required Skills & Capabilities

AI Fluency (Mandatory)

• Hands‑on experience using LLMs, copilots, RAG systems, agentic research tools, or automated intelligence platforms.

• Ability to design and orchestrate AI workflows for data gathering, synthesis, analysis, and storytelling.

• Understanding of prompt engineering, responsible AI use, and quality control of AI‑generated insights.

Research & Analytical Expertise

• Proven experience in market and technology research, competitive intelligence, business research, or emerging tech analysis.

• Strong grasp of strategic frameworks (SWOT, PEST, Porter’s Five Forces, benchmarking).

• Ability to combine AI‑generated outputs with human analytical judgment.

Technical & Data Skills

• Understanding of emerging technologies, software, cloud, and digital platforms.

• Experience with dashboards and visualization tools (Power BI, Tableau).

• Comfort with large data sets, Excel (including pivots/automation), and structured analysis.

Communication & Collaboration

• Excellent communication skills with the ability to articulate insights clearly to leadership and diverse stakeholders.

• Ability to collaborate across geographies, influence without authority, and work effectively in cross‑functional environments.

Qualifications

• MBA + BTech preferred; Bachelor’s degree required.

• Certifications in AI/ML, data analytics, or emerging tech research are highly preferred.

Ideal Candidate Profile

You are a researcher transformed by AI—curious, fast‑learning, analytically sharp, and able to combine human insight with machine‑augmented intelligence. You thrive in environments where research must be faster, smarter, dynamic, and continuously adaptive.

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

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Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.