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CX Analyst

Weekday AI

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Локация
India; IN
Занятость
Full-time
Уровень
Associate
Отдел
Weekday's Client via platform
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. 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 • 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.