- 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.

- 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, ContentSquare, 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.

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