Product Research Analyst

Product Researcher_REF97330V_Group Manager - RNA

Company Description

WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption. Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

Job Description

Job Title: Product Research Analyst – AI-driven Products

Department: Product & Design Team

Job Location : Any WNS India Location

Role Overview

As a Product Research Analyst, your primary responsibility will be to conduct in-depth research into the competitive landscape, identify emerging trends, and analyze advancements in existing AI solutions. You will act as a decision-support partner to Product and Business leadership and help answer critical questions such as: should we proceed with building a product, should we build vs partner, and is an idea commercially and strategically viable. You will be instrumental in deriving valuable insights that inform the design and development of products for our offerings across industries. You will be expected to conduct & validate research findings, ensure accuracy, and report insights to key stakeholders, to help shape product and service strategies. Additionally, you will support product research efforts that inform roadmap prioritization, identify innovation opportunities, and ensure long-term product relevance. You will support product investment and roadmap decisions through opportunity sizing, viability assessment, competitive and feature gap analysis, and user research, while ensuring insights are evidence-based and decision-ready.

Key Responsibilities:

1. Trend Identification
   • Stay on top of emerging trends in AI technologies and services.
   • Research the landscape for data, analytics and AI related trends across various industries (such as retail, CPG, BFSI, life sciences, healthcare and travel).
   • Analyze industry reports, news sources, and social channels to spot early indicators of trends that could influence the market.
   • Identify shifts in customer preferences and emerging business needs that align with our capabilities.
2. Competitive Landscape Analysis
   • Research and map out competitive players in the data, analytics & AI product and services space, including direct, indirect, and substitute offerings.
   • Conduct SWOT analysis (Strengths, Weaknesses, Opportunities, Threats) for key competitors.
   • Monitor and track competitors’ product releases, market positioning, and innovations.
   • Compare competitive products and offerings to derive the technical and business differentiators.
3. Product Research & Roadmap Insights
   • Conduct research to evaluate product-market fit, feature relevance, and industry alignment.
   • Identify white spaces and unmet needs in the market that can be addressed through product innovation.
   • Partner with Product Managers to prioritise roadmap investments based on opportunity size, business impact, and strategic differentiation.
   • Analyze product adoption trends, user feedback, and industry benchmarks to ensure continuous product evolution and differentiation.
4. Product Viability & Opportunity Assessment
   • Support opportunity sizing exercises (TAM / SAM / SOM, revenue potential, adoption likelihood) for new product ideas.
   • Assess product viability by analysing market demand, competitive intensity, differentiation potential, and execution feasibility.
   • Provide research-backed inputs to build vs partner vs drop decisions.
   • Clearly articulate go / no-go recommendations, including assumptions and risks.
5. Research Validation & Reporting
   • Validate market research findings with both qualitative and quantitative data.
   • Use surveys, interviews, and other data-gathering methods to confirm trends and insights.
   • Prepare and present detailed research reports, complete with actionable recommendations with identification of white spaces in the market. 
   • Summarize findings in a clear, digestible format for leadership and cross-functional teams.
6. Cross-Functional Collaboration
   • Work closely with the product and product-marketing (GTM) teams to align on market insights and strategy.
   • Collaborate with the GTM team to ensure that the competitive landscape and emerging trends are factored into go-to-market plans.
   • Help identify new opportunities for products based on market research insights.
7. Continuous Improvement & Learning
   • Actively seek out new sources of market intelligence, staying up-to-date with tools and methodologies.
   • Participate in relevant industry conferences, webinars, and research groups to continually expand knowledge base.

Qualifications:

• Experience:
  • 10+ years of experience in product research, competitive analysis, or strategic insights in the analytics, AI, tech, or SaaS industry.
  • Familiarity with AI technologies, machine learning, data engineering frameworks and AI-driven products/services is highly preferred.
• Skills:
  • Strong analytical skills with the ability to synthesize large sets of data and extract actionable insights.
  • Excellent communication skills, with the ability to present complex findings to non-technical stakeholders.
  • Experience with research tools (e.g., Gartner, Forrester, Statista, and others).
  • Proficiency in data analysis tools like Excel, Tableau, or similar platforms.
  • Strong written and verbal presentation skills.
  • Demonstrated experience with opportunity sizing, market modelling, or business case development is a strong plus.
• Education:
  • Bachelor’s degree in Business, Market Research, Economics, Computer Science, or a related field (Master’s degree a plus).
• Mindset & Attitude:
  • Proactive, self-starter with a passion for continuous learning and innovation.
  • Comfortable working in a fast-paced, dynamic environment with multiple cross-functional teams.
  • Detail-oriented with the ability to prioritize and manage time effectively.

 

Qualifications

bachelors

Experience Level

Mid Level