Position: Customer Experience & Product Insights Analyst (B2C)

Overall/Total Experience: 4-8 years only

Location: Pune

Working Days: 6 Days Working from office (5 Days plus Alternate Saturdays)

Notice Period Requirement: 30 Days (Maximum)

Company Size: Large-scale / Global

Roles & Responsibilities:

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

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.

Candidate Requirements:

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

- Must have 4+ years of experience in Customer Experience (CX) Analytics, Consumer Insights, Product Analytics, Behavioral Analytics, or UX Analytics, working on B2C digital products (Web/App) with a focus on understanding customer behavior, customer journeys, and experience improvement.

- Must have hands-on experience analyzing customer journeys, behavioral funnels, digital interactions, session-level behavior, clickstream data, and experience metrics to identify pain points, drop-offs, and optimization opportunities.

- Must have experience using CX and Digital Experience Analytics platforms such as Medallia, ContentSquare, Google Analytics (GA4) or similar tools for customer behavior analysis, journey mapping, and insight generation.

- Must have experience working closely with Product, Design, CX, Business, Marketing, and Research teams to generate insights, validate hypotheses, and drive customer experience improvements.

- Strong working knowledge of SQL and Python for data extraction, querying, analysis, exploratory data analysis, automation, and behavioral data interpretation. Ability to independently analyze large datasets, identify patterns, and generate actionable business insights.

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