GlitterLabs | Business Research Analyst | 2+ YoE

This is not a typical business role, and we are not looking for a traditional business analyst.
 

Glitter Technology Ventures Pvt. Ltd. (www.glitterlabs.com) is hiring a Business Research Analyst to investigate, analyze, and explain emerging technologies and business opportunities at the intersection of Edge AI, Vertical AI, and large-scale content generation.
 

We are looking for someone who can connect technological innovation with business strategy, someone who can research emerging AI systems in the morning and translate their implications into market intelligence, competitive analysis, and actionable business insights by afternoon.
 

The ideal candidate combines analytical thinking, technical curiosity, rigorous research, and clear communication.

You should be comfortable exploring unfamiliar technologies, evaluating market opportunities, analyzing industry trends, and explaining complex ideas with precision.
 

If you think critically, research deeply, connect the dots between technology and business, and communicate your findings clearly, keep reading.

About the Role

This is a research-intensive role combining business analysis, technology research, market intelligence, and technical writing.
 

You will work directly with the founders and engineering team to investigate emerging technologies, evaluate business opportunities, analyze competitive landscapes, and translate complex technical developments into actionable business insights.
 

You are not simply collecting data or preparing routine reports.

You are:

• Researching emerging technologies across Edge AI, Vertical AI, and large-scale content generation.

• Analyzing markets and business opportunities to identify industry trends, competitive advantages, and potential growth areas.

• Connecting technology with business strategy by evaluating products, business models, market demand, and commercialization opportunities.

• Producing high-quality research and technical content that makes complex ideas accessible, precise, and actionable.

• Supporting strategic decisions through structured analysis, evidence-based recommendations, and clear communication.
   

We move fast. Deadlines are real commitments.

Learning is continuous, and the ability to research independently, think critically, and execute with speed and precision is essential.

Location

Remote, India

Nagpur, MS, India (local candidates preferred)
 

We work in person, remote, or hybrid for speed, clarity, and tight feedback loops.

What You’ll Do

• Research emerging technologies and markets across Edge AI, Vertical AI, LLMs, and large-scale content generation to identify trends, opportunities, and competitive developments.

• Conduct market and competitive intelligence to evaluate industry players, emerging startups, products, business models, and evolving market dynamics.

• Translate technical research into business insights by assessing technology capabilities, commercial applications, market potential, and strategic implications.

• Analyze business opportunities through structured research, market sizing, industry analysis, and evidence-based recommendations.

• Produce high-quality research and technical content, including industry reports, technology deep dives, competitive analyses, and developer-focused documentation.

• Track the AI ecosystem by monitoring research publications, product launches, funding activity, open-source projects, and emerging business models.

• Support strategic decision-making by presenting research findings, identifying opportunities and risks, and developing actionable recommendations for the founders.

• Contribute to the company’s research and content distribution engine by transforming original research into articles, reports, newsletters, and other knowledge assets.

• Work closely with engineering and leadership to validate technical findings, understand product capabilities, and connect technological developments with business opportunities.

Core Responsibilities

Business Research & Market Intelligence

• Continuously track developments across AI, LLMs, Edge AI, Vertical AI, and the broader technology ecosystem.

• Identify emerging technologies, startups, products, business models, and market opportunities before they become mainstream.

• Conduct market research, competitive intelligence, industry analysis, and opportunity assessments to inform business strategy.

• Evaluate technology trends through both technical capabilities and commercial viability, identifying potential applications, competitive advantages, and business implications.

• Translate research findings into actionable business insights, strategic recommendations, and clearly structured reports.

• Deliver rigorous, evidence-based research outputs within committed deadlines.

Technology & Business Analysis

• Investigate AI-driven products, platforms, tools, and architectures to understand their capabilities, limitations, and commercial applications.

• Analyze the competitive landscape, including established companies, emerging startups, open-source projects, and disruptive business models.

• Evaluate market demand, customer segments, industry adoption, and potential monetization strategies for emerging technologies.

• Assess business opportunities using structured frameworks, market data, quantitative analysis, and clearly articulated assumptions.

• Collaborate with founders and engineering teams to validate technical findings and connect technological developments with business opportunities.

• Develop comparative analyses, opportunity assessments, and decision-support materials that help leadership prioritize initiatives.

Research Writing & Knowledge Development

• Produce high-quality research reports, industry analyses, technology deep dives, competitive intelligence briefs, and strategic assessments.

• Translate complex technical and market developments into clear, structured, and actionable business content.

• Support the development of research-backed articles, newsletters, presentations, and other knowledge assets.

• Establish a consistent publishing cadence for research outputs and industry insights.

• Maintain high standards of accuracy, source attribution, analytical depth, and written communication.

• Build credibility through original research, independent analysis, verifiable evidence, and a demonstrated understanding of the subject matter.

Operations & Execution Discipline

• Own the research backlog, prioritize investigations, and manage multiple research projects concurrently.

• Maintain organized research repositories, source libraries, competitive intelligence databases, and documentation.

• Track industry developments, research findings, assumptions, and analytical decisions in a structured and reproducible manner.

• Communicate proactively about progress, blockers, research limitations, and delivery timelines.

• Ensure research assignments progress from initial investigation to validated findings, documented conclusions, and actionable recommendations without execution gaps.

• Continuously improve research methodologies, analytical workflows, and knowledge-management practices to increase the speed and quality of research delivery.

Skills & Requirements

• Research and analytical experience: 2+ years of experience in business research, market intelligence, technology analysis, competitive research, or a related analytical role.

• Technology fluency: Strong understanding of AI, LLMs, Edge AI, Vertical AI, and emerging technology ecosystems, with the ability to evaluate both technical capabilities and business implications.

• Market research and competitive intelligence: Experience researching industries, analyzing competitors, evaluating business models, identifying market trends, and assessing commercial opportunities.

• Data-driven decision-making: Ability to gather information from diverse sources, validate findings, interpret quantitative and qualitative data, and develop evidence-based recommendations.

• Technical research capabilities: Familiarity with AI frameworks, developer tools, APIs, open-source projects, and cloud platforms. The ability to understand technical documentation and evaluate emerging technologies is essential.

• Strategic and commercial thinking: Ability to connect technology developments with market demand, customer needs, competitive positioning, monetization opportunities, and business strategy.

• Research synthesis and communication: Exceptional ability to synthesize complex information into structured reports, competitive analyses, executive briefs, and actionable insights.

• Technical writing and content development: Strong writing skills, with demonstrated experience producing research reports, analytical articles, technical explainers, newsletters, or other professional content.

• Research tools and workflows: Familiarity with AI-powered research tools, LLM-based workflows, data analysis tools, and modern productivity systems. Experience using AI assistants to accelerate research is a plus.

• Independent execution: Ability to manage multiple research assignments, work with minimal supervision, prioritize effectively, and deliver high-quality outputs within deadlines.

• High learning velocity: Ability to move quickly from an unfamiliar subject to a well-researched, clearly articulated understanding of its technical and commercial implications.

• Intellectual rigor: Strong research instincts, critical thinking, attention to detail, source verification, and the ability to distinguish evidence from assumptions or speculation.

• Demonstrated research portfolio: Published research, industry reports, analytical articles, relevant projects, or other evidence of strong research and communication skills is a significant advantage.
   

What matters most: Intellectual curiosity, analytical depth, technical fluency, research discipline, and the ability to turn complex information into clear, actionable business insights.

Experience

• Relevant experience: 2+ years in business research, market intelligence, technology analysis, AI research, or related analytical roles.

• Research and analytical execution: Demonstrated ability to conduct independent research, evaluate business opportunities, analyze market trends, and translate findings into actionable insights.

• Startup experience: Experience working in a startup or fast-paced environment is strongly preferred, with the ability to adapt quickly, manage competing priorities, and deliver high-quality research under tight deadlines.

Qualifications

• Educational background: Bachelor’s or Master’s degree in Business, Economics, Computer Science, Engineering, Information Technology, or a related field.

• Practical experience: Equivalent hands-on experience is valued over formal credentials when supported by strong evidence of research, analytical work, published writing, or completed projects.

• Intellectual curiosity: Demonstrated curiosity about emerging technologies, AI, LLMs, Edge AI, and their business applications is essential.

• Research orientation: A strong inclination toward independent investigation, critical thinking, continuous learning, and connecting technological developments with market opportunities is expected.

Why Join Us

• Work at the frontier of AI systems + technical content + research.

• Build real production systems used by real users.

• High ownership from day one, no bureaucracy.

• Direct access to founders and fast feedback loops.

• Combine engineering, research, and writing in one role.

• Grow faster than traditional engineering roles if you can keep pace.

Most engineers build systems. Most writers explain them.
 

We’re looking for someone who can do both, and do it at production scale.

Note: 

Please answer the questions below using the STAR (Situation, Task, Action, Result) format. Be specific, concise, and quantify impact wherever possible. 

We read these responses carefully and use them to understand how you think, execute, and create meaningful outcomes.