Live opening · Posted 7 days ago

Market Research Analyst

Talent Basket · Chennai, Tamil Nadu, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyTalent Basket
LocationChennai, Tamil Nadu, India (On-site)
SalaryUp to 1.1M INR/yr
Work modeNo
SkillsPython, Power BI, Tableau
SourceLinkedin
ListedPosted 7 days ago

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About the role

Description supplied by the original job listing.

Opportunity Overview
Our client is seeking a Market Research Analyst to join their Market Intelligence team. This role combines advanced automation with analytical expertise to deliver reliable, decision-ready intelligence that directly informs product strategy, go-to-market initiatives, and executive decision-making.
You will operate within the client’s AI-enabled research stack, continuously improving workflows, validating outputs, and translating market signals into actionable insights. Your work will shape how the client builds, positions, and sells its platforms in a competitive and evolving market.
Key Responsibilities
Run and enhance AI-enabled research workflows: Operate and improve research agents across sourcing, extraction, synthesis, and brief generation.
Automate research intake: Build pipelines to ingest analyst reports, earnings calls, regulatory filings, and other market sources, highlighting key changes and implications.
Validate AI-generated research: Ensure accuracy, grounding, and citation integrity by testing outputs against trusted primary sources.
Monitor competitors and market activity: Track competitor positioning, product launches, partnerships, acquisitions, and go-to-market strategies.
Develop strategic account intelligence: Create automated first-pass profiles of target institutions, refining insights for priority pursuits.
Translate trends into business implications: Deliver clear briefs on industry, regulatory, and technology signals for product, marketing, sales, and executive teams.
Support go-to-market initiatives: Provide market sizing, segmentation, buyer insights, and competitive positioning for launches and campaigns.
Build reusable research capabilities: Develop scalable automations, templates, and tools for marketing and intelligence workflows.
Identify automation opportunities: Propose practical improvements to streamline repetitive research processes.
Create executive-ready presentations: Transform complex research into clear narratives and recommendations for diverse stakeholders.
Facilitate decision-making: Lead working sessions to help stakeholders interpret evidence and navigate ambiguity.
Qualifications & Skills
Must-Haves
Bachelor’s or Master’s degree in Marketing, Business, Economics, Computer Science, or related field.
2–5 years of experience in market research, competitive intelligence, strategy consulting, or related analytical roles.
Background in Big Four firms, strategy consulting, analyst organizations, or technology companies preferred.
Core Skills
Strong understanding of competitive intelligence and market research practices (market sizing, battlecards, win/loss analysis, analyst monitoring).
Hands-on experience building AI-driven research workflows, agentic processes, or no-code AI agents.
Familiarity with AI-native development tools (e.g., Cursor, Claude Code) for prototyping automations.
Ability to synthesize complex reports accurately and efficiently.
Strong research judgment with a focus on source credibility and validation of AI outputs.
Excellent communication skills—able to translate findings for technical, commercial, and executive audiences.
Proficiency in SQL, Python, Tableau, Power BI, Excel, and PowerPoint.
Builder mindset with a focus on scalable, repeatable systems.
Ability to quickly adapt to evolving AI technologies.
Nice-to-Haves
MBA or postgraduate qualification.
Experience in banking, financial services, or enterprise technology.
Familiarity with banking technology, enterprise software, AI governance, or modernization platforms.
Experience working with analyst research (Gartner, Forrester, Celent, IDC).
Background in developing account intelligence for enterprise sales teams.
Knowledge of APIs, workflow automation platforms, data extraction tools, or retrieval-augmented generation systems.
Experience presenting research to senior leadership.

Work arrangement
No

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