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CX Analyst

๐Ÿ•’ yesterday
Consumer InsightsCustomer Experience AnalyticsProduct AnalyticsQuantitative And Qualitative Research
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๐Ÿ“œ Description

  • Analyze web and mobile customer journeys to identify friction, drop-offs, behavioral patterns, and opportunities to improve satisfaction and engagement.
  • Combine quantitative data and qualitative research to understand customer motivations, expectations, preferences, and pain points.
  • Conduct funnel, cohort, segmentation, and behavioral analyses of product interactions.
  • Use session replay, web and app analytics, and system-of-record data to investigate customer behavior.
  • Apply statistical analysis and hypothesis testing, and critically evaluate qualitative research findings.
  • Present insights to cross-functional stakeholders and partner on improvements, experiments, and outcome measurement.

๐Ÿ› ๏ธ Requirements

  • 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
  • 2โ€“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.
Full job description

This role is for one of Weekdayโ€™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.

Requirements

Key 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

  • 2โ€“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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