Job Description

Job Responsibilities

The ideal candidate brings a passion for decoding consumer behaviour — not just through traditional research, but also through social listening and AI-powered insight platforms — and translating that into high-impact product and marketing strategies.

Customer Insights & Social Behaviour Analysis:

  • Design and lead qualitative and quantitative research including FGDs, IDIs, U&A studies, brand equity, and NPS tracking
  • Translate consumer insights into actionable recommendations for marketing, sales, R&D product and styling teams
  • Partner with external research agencies to ensure high-quality research execution and interpretation.
  • Leverage social media listening tools to uncover emerging consumer sentiment, category conversations, and cultural trends across platforms
  • Manager new launches & first rides in collaboration with the marketing team; track and interpret online reviews, influencer content, and community forums to understand the digital PR
  • Lead VOC (Voice of Customer) programs, particularly for new models & EV

    • Product Planning & Strategy:

  • Identify consumer-led whitespace opportunities through market scans, competitive benchmarking, and segmentation
  • Define and refine product concepts, feature priorities, variant strategies, and willingness to pay basis market research
  • Support GTM (Go-to-Market) strategy with insights into buyer personas, use-cases, and positioning opportunities

    • Business Intelligence & Reporting:

  • Analyze secondary data (industry reports, SIAM, Francis Kanoi, Google Trends) for category & segment level insights
  • Present crisp, insight-led recommendations to senior management that influence key product, brand, and go-to-market decisions

    • Stakeholders

    Internal: Brand team, PR & Media team, R&D team, Sales & Service team

    External: Agencies, Auto-media

    Competencies

    Technical/ Functional:

  • Strong strategic and analytical thinking with storytelling ability
  • Demonstrated ability to interpret data from multiple structured and unstructured sources
  • Exposure to digital behaviour tracking or social analytics
  • Experience with modern research tools and ability to work with AI-first platforms

    • Behavioural:

  • Strong communication and stakeholder management skills
  • Collaborate across all interfaces – front-end (sales, marketing), back-end (R&D), external (agencies)
  • Creative problem solving backed by critical thinking approach
  • Curiosity, bias for action, and a digital-first mindset

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