Market Research Analyst

Talent Basket; Chennai District; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

Talent Basket seeks a Market Research Analyst in Chennai/Trivandrum reporting to the Director of Market Intelligence. The role focuses on building and maintaining AI-driven research stacks, monitoring markets, and delivering decision-ready intelligence to product, marketing, and sales teams.

You will automate intake, validate outputs against trusted sources, and translate trends into actionable business implications, supporting GTM initiatives and executive reporting.

Qualifications

• Bachelor’s or master’s in marketing, business, economics, computer science, or a related field.
• 2-5 years of experience in market research, competitive intelligence, market intelligence, strategy consulting or a related analytical role.
• Experience working within top-tier firms or strategy/market research organizations is preferred.

Responsibilities

• Run and improve AI-enabled research workflows across sourcing, extraction, synthesis and briefing.
• Automate research intake from analyst reports, earnings calls, filings and reports.
• Validate AI outputs against primary sources for accuracy and credibility.
• Track competitors, market activity and GTM moves with automated collection and analysis.
• Create executive-ready briefs translating trends into business implications.

Skills

Competitive intelligence

Market intelligence

AI workflows

SQL

Python

Power BI

Excel

PowerPoint

Synthesis

Facilitation

Education

BA/MA in related field

BTech/BE or CS background

Tools

Cursor

Claude Code

No-code AI tools

Job description

Location: Chennai / Trivandrum | Reports to: Director of Market Intelligence

What's the opportunity?

We are seeking a Market Research Analyst, reporting to the Director of Market Intelligence.

Market research is built around systems — agents, workflows, and automations that allow a focused team to continuously monitor and understand a market far larger than its headcount. In this role, you will work within that research stack, improve and extend it, and apply strong analytical judgment to the information it produces. You will be responsible for running the machinery and applying the judgment required to produce reliable, decision-ready intelligence.

What will you do?

• Run and improve AI-enabled research workflows: Work with existing research agents and workflows across sourcing, extraction, synthesis and brief generation. Maintain continuous coverage of priority markets and improve the system as new needs and gaps emerge.
• Automate research intake: Build and maintain pipelines that ingest analyst reports (Gartner, Forrestor, Celent), earnings calls, regulatory filings, annual reports and other relevant market sources, identifying what has changed and why it matters.
• Validate AI-generated research: Test outputs against primary and trusted sources for accuracy, grounding and citation integrity. Identify where automation is drifting, producing incomplete conclusions or introducing unsupported claims, and improve the workflow.
• Track competitors and market activity: Monitor competitor positioning, product and feature releases, partnerships, acquisitions and go-to-market activity. Automate information collection while providing the analysis and interpretation.
• Develop strategic account intelligence: Create automated first-pass profiles of target institutions, including their technology environments, strategic priorities, pain points, transformation initiatives and potential buying triggers. Refine the research for priority pursuits.
• Translate trends into business implications: Turn industry, regulatory, technology and competitive signals into clear briefs for product, marketing, sales and executive audiences.
• Support go-to-market initiatives: Contribute market sizing, segmentation, buyer insights, competitive positioning and supporting evidence for launches, campaigns and strategic initiatives.
• Build reusable research capabilities: Develop automations, templates and tools that can be used across marketing and market intelligence workflows. Prioritize scalable capabilities over one-time solutions.
• Identify opportunities for further automation: Recognize repetitive or inefficient research processes and propose practical ways to automate or improve them.
• Create executive-ready presentations: Turn complex research into clear narratives, presentations and recommendations for technical, commercial and executive stakeholders.
• Facilitate decision-making: Lead working sessions that help stakeholders understand the evidence, navigate ambiguity and move toward informed decisions.

What do you need to succeed?

Must haves:

• Bachelor’s or master's in marketing, business, economics, computer science, or a related field (BA/B.Sc/B.Tech).
• 2 - 5 years of experience in market research, competitive intelligence, market intelligence, strategy consulting or a related analytical role.
• Experience working within a Big Four firm, strategy consulting firm, market research organization, analyst firm or technology company is preferred.

Core skills

• Strong understanding of competitive intelligence, market intelligence and go-to-market research practices, including competitor tracking, market sizing, battlecards, win/loss analysis and analyst report monitoring.
• Hands-on experience using AI to build research workflows, agentic processes, multi-tool automations or no-code AI agents, beyond basic prompting.
• Comfort using AI-native development tools such as Cursor, Claude Code or similar platforms to prototype scripts, automations or lightweight internal tools, even without a formal software engineering background.
• Strong ability to read, evaluate and synthesize long, complex reports accurately and efficiently.
• Strong research judgment, including the ability to distinguish credible evidence from unsupported conclusions and verify AI-generated outputs against original sources.
• Excellent written and verbal communication skills, with the ability to translate complex findings for technical, commercial and executive audiences.
• Strong presentation and facilitation skills, with the confidence to lead stakeholders through ambiguity toward a decision.
• Experience working with data-analysis tools such as SQL, Python, Tableau, Power BI or similar platforms.
• Strong Excel and PowerPoint skills, including the ability to work with incomplete, inconsistent or unstructured data from multiple sources.
• A builder mindset and a demonstrated interest in creating repeatable systems rather than relying only on manual processes.
• Ability to learn new tools quickly and remain effective as the AI technology landscape continues to evolve.

Nice to have:

• MBA or postgraduate qualification from a recognized institution.
• Experience in banking, financial services, enterprise technology or another regulated industry.
• Familiarity with banking technology, enterprise software, AI governance, agentic AI, integration platforms or legacy modernization.
• Experience working with commercial analyst research from firms such as Gartner, Forrester, Celent, IDC or similar organizations.
• Experience developing market or account intelligence for enterprise sales teams.
• Familiarity with APIs, workflow automation platforms, data extraction tools or retrieval-augmented generation systems.
• Experience presenting research and recommendations to senior leadership.