Description Youll be the person who can stare at a funnel and see a human story. Who can sit with a field research readout and spot whats missing. Who treats data not as an answer, but as a better question - and turns both into something the team can act on.

What Your Work Looks Like Youll operate across the Design Thinking lifecycle from signal to solution :

- 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.

What Makes Someone Right For This

- 4 to 8 years in consumer insights,



CX analytics, product analytics, UX research, or a similar role in B2C or consumer-facing companies, where youve worked across quantitative and qualitative inputs
- Comfortable in analytics platforms session replay, web/app analytics, funnel analysis, segmented and cohort analysis. Can layer behavioural data over system-of-record data to move beyond surface-level insights. Specific tools matter less than your ability to get depth from any tool quickly
- Understands statistical thinking hypothesis testing, significance, when to apply rigour and when to move on intuition
- Can read, challenge, and build on qualitative research even if youre not the one conducting it you know what good methodology looks like and can spot when a finding is thin
- Structures findings into transparent, concise arguments. Youve presented to senior stakeholders and know the difference between showing data and making a case
- Thinks in systems you connect a drop-off at step 3 to an upstream design choice, a policy constraint, and a downstream business metric without being told to
- SQL-literate you can pull what you need or speak to data teams in their language
- Brings critical reasoning that stress-tests assumptions rather than confirming them

(ref:hirist.tech)

📌 CX Analyst & Product Insights Analyst (Pune)
🏢 Recruire
📍 Pune