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Weekday, Inc.

CX Analyst

Posted 2 Days Ago
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Remote
Hiring Remotely in India
Mid level
Remote
Hiring Remotely in India
Mid level
Analyze customer journeys, behavioral data, product interactions, and qualitative research to identify friction points and improvement opportunities. Conduct funnel, cohort, segmentation, statistical, and hypothesis analyses across web and mobile experiences. Translate insights into actionable recommendations and communicate findings to product, design, marketing, operations, and business stakeholders. Partner cross-functionally on experimentation, customer experience optimization, and data-driven continuous improvement.
The summary above was generated by AI

This role is for one of Weekday’s clients
Salary range: Rs 600000 - Rs 1200000 (ie INR 6 - 12 LPA)

Min Experience: 2+ years
Location: India
JobType: full-time

We are looking for a Customer Experience (CX) Analyst to transform customer behaviour, feedback, and product interactions into actionable insights that improve the overall customer experience. The ideal candidate combines analytical thinking with a strong understanding of consumer insights, product analytics, and customer journey optimisation. You will work closely with cross-functional teams to identify friction points, understand customer needs, and recommend data-driven improvements across digital and consumer-facing touchpoints.


RequirementsKey Responsibilities
  • Customer Experience Analytics: Analyse customer journeys across web and mobile platforms to identify friction points, drop-offs, behavioural patterns, and opportunities to improve customer satisfaction and engagement.
  • Consumer Insights: Combine quantitative and qualitative inputs to understand customer motivations, expectations, preferences, and pain points. Translate findings into clear, actionable business recommendations.
  • Product Analytics: Conduct funnel analysis, cohort analysis, segmentation, and behavioural analysis to understand how customers interact with products and services.
  • Behavioural Data Analysis: Use session replay tools, web and app analytics, and other behavioural data sources alongside system-of-record data to uncover deeper insights into customer actions and experiences.
  • Statistical Analysis: Apply statistical thinking, hypothesis testing, and significance testing to validate assumptions, evaluate customer behaviour, and support evidence-based decision-making.
  • Qualitative Research Evaluation: Interpret customer interviews, usability studies, surveys, and other qualitative research findings. Assess research methodology, challenge unsupported conclusions, and identify opportunities for further investigation.
  • Insight Communication: Present complex analytical findings in a clear, structured, and compelling manner to stakeholders across product, design, marketing, operations, and business teams.
  • Experience Optimisation: Partner with cross-functional teams to prioritise improvements, formulate hypotheses, measure outcomes, and evaluate the impact of changes on customer experience and business performance.
  • Continuous Improvement: Develop a deeper understanding of customer behaviour, identify emerging trends, and establish a culture of data-driven experimentation and customer-centric decision-making.
Must-Have Skills
  • Consumer Insights
  • Customer Experience (CX) Analytics
  • Product Analytics
  • Quantitative and Qualitative Research
  • Customer Journey Mapping and Funnel Analysis
  • Cohort Analysis and Customer Segmentation
  • Web and App Analytics
  • Statistical Analysis and Hypothesis Testing
  • Data Interpretation and Insight Communication
Required Qualifications and Experience
  • 2–5 years of experience in consumer insights, CX analytics, product analytics, UX research, or a related analytical role within a B2C or consumer-facing organisation.
  • Hands-on experience working with quantitative data and qualitative research inputs to understand customer behaviour and identify improvement opportunities.
  • Familiarity with analytics platforms, session replay tools, funnel analysis, and cohort-based analysis.
  • Strong understanding of statistical concepts, including hypothesis testing, significance, and evidence-based decision-making.
  • Ability to evaluate qualitative research critically and distinguish meaningful findings from conclusions supported by limited evidence.
  • Strong problem-solving, communication, and stakeholder-management skills.
Good-to-Have Skills
  • Experience with experimentation, A/B testing, and conversion rate optimisation.
  • Familiarity with customer feedback platforms, survey tools, and usability testing methodologies.
  • Experience working with product managers, UX designers, researchers, and business teams.

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