Customer Research and Insights Practitioner

The hiring team aligned that this role is not a traditional statistician position and equally not a pure consulting/storytelling role. We are looking for a hands-on quantitative researcher who can connect the full chain:

Business Problem → Research Design → Methodology Selection → Statistical Analysis → Insight Generation → Stakeholder Communication

Role Overview

The Researcher will be responsible for leading end-to-end quantitative research programs, translating business questions into robust research designs, applying appropriate statistical methodologies, and generating insights that inform strategic decisions.

The successful candidate should be able to:

• Design and evaluate quantitative research methodologies.
• Translate business challenges into research hypotheses and analytical approaches.
• Apply a broad range of statistical techniques to solve customer and business problems.
• Generate actionable business insights from research findings.
• Communicate complex analytical concepts to non-technical stakeholders.
• Provide methodological oversight, peer review, quality assurance, and best-practice guidance across the Customer Insights team.

Key Technical & Methodological Requirements

Candidates should demonstrate strong practical experience with:

• Hypothesis Testing
• Regression Analysis
• ANOVA / MANOVA
• Clustering & Segmentation
• K-Means Clustering
• Factor Analysis
• Dimension Reduction Techniques
• Conjoint Studies
• MaxDiff Studies
• Sampling Frameworks
• Survey Design & Questionnaire Development
• Dependent & Independent Variables
• Interaction Effects
• Data Quality Assurance & Data Cleaning

We are prioritizing statistical and methodological depth over familiarity with specific tools or platforms.

Preferred Experience

Suitable candidates may come from:

• Customer Research
• Consumer Research
• Market Research
• Behavioural Science
• Quantitative Social Research
• Customer Insights
• Retail Banking Research
• Survey Analytics

Experience with Qualtrics, UserTesting, Excel, Python, or similar tools is beneficial but should be treated as secondary to methodological expertise.

Educational Preferences

Preferred backgrounds include:

• Statistics
• Applied Statistics
• Economics
• Behavioural Science
• Mathematics
• Quantitative Social Sciences

Preferred institutions include:

• Indian Statistical Institute (ISI)
• Delhi University (BSC/ MSc Statistics)
• IITs (Applied Statistics / Informatics)
• Symbiosis Statistical Institute
• Savitribai Phule Pune University
• NMIMS- BSc/MSc

Key Search Keywords

• Quantitative Research, Customer Research, Consumer Research, Market Research, Survey Research, Behavioural Science, Behavioural Analytics, Customer Insights, Consumer Insights, Regression, ANOVA , MANOVA , Clustering , K-means , Factor analysis or Dimension reduction techniques , Conjoint, Max-diff.
• Tools (Secondary Filters) Qualtrics, UserTesting, Excel, Python.

Key Difference: AVP vs BA4 Researcher Roles

While both roles require strong quantitative research and statistical capabilities, the expectations differ in terms of ownership, influence, and team impact.

AVP Researcher

The AVP role is expected to operate as a senior research leader within Customer Insights and should demonstrate:

• Ability to rapidly frame and deconstruct complex business problems.
• Strong technical expertise across a broad range of quantitative methodologies.
• Oversight responsibilities including peer review, quality assurance, and methodological governance.
• Ownership of research standards, reusable templates, and AI-enabled ways of working.
• Responsibility for coaching and upskilling Customer Insights colleagues.
• Ability to influence strategic decisions and provide thought leadership within the research function.
• Leadership of complex cross-functional initiatives and stakeholder engagement across senior audiences.

BA4 Researcher

The BA4 role is primarily a hands-on practitioner role focused on conducting high-quality quantitative research and analysis. Key expectations include:

• Delivering research activities accurately, efficiently, and to a high standard.
• Demonstrating strong technical knowledge and practical application of quantitative research methodologies.
• Translating business questions into appropriate research approaches and analyses.
• Independently conducting surveys, statistical analyses, and insight generation.
• Developing deep subject matter expertise within their area.
• Advising stakeholders within their domain of expertise and influencing decisions through evidence-based recommendations.
• Taking ownership of operational delivery and research outputs.
• Partnering with colleagues across functions and contributing to wider team objectives.
• Managing risk, adhering to controls, and embedding new policies and procedures as required.
• Evaluating data critically, making sound analytical judgements, and resolving problems through the application of technical expertise.
• Acting as a key point of contact for stakeholders and communicating complex findings clearly and effectively.

In summary:

• BA4 = Strong quantitative research practitioner responsible for delivering high-quality research and analysis.
• AVP = Senior quantitative research specialist who combines technical excellence with research leadership, methodology governance and strategic influence.