- Insight & Evidence : Journey analytics, Mining session replays, heatmaps, and behavioural data to surface where customers struggle and why.

You bring statistical rigour : You know the difference between a pattern and noise, between correlation and causation, and you know when to trust the data and when to trust instinct.

Challenge & Synthesis : You consume field research from dedicated research teams and stress-test it. You triangulate digital signals against qualitative findings, competitive benchmarks, and business metrics to build problem statements that hold up under scrutiny.

You craft How Might We statements from clustered signals framing the right questions that give the team a clear direction to solve against.

Prototyping & Testing : You participate in solutioning - helping the team move from problem to prototype, designing tests, and closing the loop between what was hypothesised and what customers actually do.

Ideal Candidate :

- Strong Consumer Insights / CX Analytics / Product Insights profile (behavioral /user/product /UX analytics)

- Must have 3+ years of experience in Consumer Insights, CX Analytics, Product Analytics, UX Research, or Behavioral Data Analysis, working on B2C digital products (web/app) with a focus on understanding user behavior and improving customer experience

- Hands-on experience in analyzing user journeys, funnels, and behavioral data, including clickstream analysis, cohort analysis, or session-level insights using tools such as Google Analytics, Mixpanel, Amplitude, CleverTap, Firebase, Content Square, or similar platforms.

- Experience working in cross-functional environments (Product, Design, Business, Research teams), contributing to insight generation, problem framing, and solution validation based on behavioral and customer data.

- Strong understanding of behavioral patterns, funnel drop-offs, engagement metrics, and user journey analysis, with the ability to connect data signals to real user problems.

Ability to synthesize quantitative data with qualitative research inputs (user interviews, field research, usability studies), and translate them into clear problem statements or actionable insights.

- Working knowledge of SQL and Excel, with ability to extract, analyze, and interpret data; familiarity with data visualization or reporting tools (Tableau, Power BI, Looker, etc.) for storytelling is preferred.

- Understanding of hypothesis-driven thinking and basic experimentation/A/B testing concepts, including interpreting results and distinguishing between correlation and causation.

- Strong analytical thinking and structured problem-solving skills, with the ability to challenge assumptions, validate insights, and build logical narratives for stakeholders.

- Experience in B2C / consumer-facing organizations (fintech, e-commerce, edtech, digital platforms, or similar) with exposure to customer journey and digital behavior analytics.