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CX Analytics Engineer
2 weeks ago
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 DAX for 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.