# CX Analyst

**Company:** [Weekday AI](https://jobs.workable.com/companies/pxG9rDgnvZm2c86JUchT1j.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** Weekday's Client via platform

[Apply for this job](https://jobs.workable.com/view/70559850-b1b3-49c9-83cd-315788a9d2f9)

## Description

**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.