Market Research

·       Lead end-to-end execution of market research and
insights projects, working closely with internal stakeholders and external
research agencies to ensure timely and high-quality delivery

·       Act as a bridge between business teams and
research partners, translating business objectives into research frameworks and
actionable insights

·       Design and manage project plans, oversee
fieldwork and data collection, and ensure alignment with business goals
throughout the project lifecycle

·       Drive quality and accuracy of research outputs
through rigorous validation, spot checks, and structured review of reports and
insights

·       Translate complex data and research findings
into clear, actionable recommendations for internal stakeholders and leadership

·       Manage stakeholder communication, including
presenting key findings and ensuring alignment on objectives, outputs, and
impact

·       Monitor project budgets and ensure
cost-effective execution while maintaining quality standards

·       AI-augmented research practice: designing and
implementing AI-assisted workflows across the research lifecycle to improve
output quality, depth of insight, and turnaround time; with the ability to
translate AI-assisted analysis into leadership-ready outputs and build
team-level AI capability

Requirements

Experience:
2-4 years

Educational
Qualifications:

·      Data Analysis: Proficiency in analyzing
both qualitative and quantitative data to generate insights. Familiar with
tools like Excel, SPSS etc.

·      Research Design and Methodology: Strong
understanding of various research methodologies such as surveys, focus groups
and so on.

·     Vendor / Agency Management: Strong coordination
skills with internal and external stakeholders ensuring studies are executed as
per project requirements, timeline and quality standards

·     Project Coordination: Ability to manage multiple
research projects simultaneously overseeing agency deliverables and ensuring
that they align with business objectives and study design

·      Quality Control: Ensuring quality and accuracy
of work throughout the process from survey design to final reports and maintain
integrity of research findings

·     Data Interpretation: Strong ability to review
and interpret research findings confirming that they are relevant, actionable
and aligned with business needs. Ability to translate the research insights
provided by agencies into strategic recommendations for internal stakeholders

·      Budget Management: Monitoring project budgets in
collaboration with agencies providing cost-effective research execution without
compromising on quality

·     Hands-on use of AI tools for MR-specific tasks:
qual coding, verbatim theming, secondary research synthesis, report drafting,
and data cleaning; including prompt design, structured output elicitation, and
iterative refinement, not just ad hoc querying

·     Experience designing repeatable AI-assisted
workflows for team adoption, not one-off use: prompt templates, structured
output formats, or semi-automated pipelines for recurring research needs, with
documentation or handoff capability

·    Strong judgment on where AI adds value vs.
introduces risk in a research context, particularly in data-sensitive
environments where input confidentiality and output integrity are
non-negotiable before work reaches internal stakeholders or leadership