drjobs CX Analytics Engineer

CX Analytics Engineer

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1 Vacancy
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Job Location drjobs

Bangalore - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Description

Key Responsibilities

  • Design build and maintain scalable data pipelines to collect and analyze customer interaction data across digital and offline channels.
  • Develop and maintain dashboards and reports to monitor key CX metrics such as NPS CSAT CES and churn.
  • Collaborate with CX product and marketing teams to identify friction points and opportunities in the customer journey.
  • Conduct A/B testing and cohort analysis to evaluate the impact of CX initiatives.
  • Integrate data from CRM call center survey and web analytics platforms to create a unified customer view.
  • Work with cross-functional teams including operations IT and customer support
  • Participate in testing and validating analytics solutions
  • Document processes data flows and technical specifications
  • Present insights and recommendations to stakeholders and senior leadership.

Qualifications

  • 3 years of experience in data engineering analytics or a related field with a focus on customer experience.
  • Proficiency in SQL and Python; experience with dbt Airflow or similar tools is a plus.
  • Strong experience with data visualization tools (e.g. Tableau Power BI Looker).
  • Familiarity with CX platforms and CRMs such as Genesys Cloud NICE Qualtrics Salesforce and ServiceNow.
  • Experience working with cloud data platforms (AWS or Azure).
  • Strong communication and documentation skills

Preferred Qualifications

  • Experience in SaaS or CX product environments.
  • Knowledge of customer journey mapping and operational analytics.
  • Knowledge of Python R or DAXfor data manipulation and analysis
  • Curiosity and a passion for improving customer experience through data
  • Excellent communication and storytelling skills with the ability to translate data into business insights.
  • Background in statistics or machine learning is a plus.


Employment Type

Full Time

Company Industry

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