
Customer Experience Analytics Consultant (Bilingüal English)
- Argentina
- Permanente
- Tiempo completo
- Build trusted client relationships through proactive client engagement and exceptional project delivery
- Understand clients' customers and the ideas and perceptions that drive their engagement
- Evaluate customer journeys, identifying pain points and providing recommendations for frictionless interactions
- Manage and mine source data using demonstrated mastery of SQL to identify and access data
- Integrate a variety of disparate data sources while ensuring data accuracy and integrity
- Provide actionable CX insights through data analysis using tools such as R and Python (Pandas Library)
- Collaborate with cross-functional teams to identify root causes of customer issues, develop glide paths, and measure effectiveness
- Report to customer support leadership on overall program performance and provide recommendations for program improvements
- Gather business requirements and collaborate with internal and external cross-functional partners in operationalizing insights
- Use tools such as Tableau, Excel, or PBI to design and build insight-driven reports and dashboards that provide real-time access to customer insights
- Communicate complex ideas simply, adapting communication to audiences with different levels of topic knowledge and understanding
- Bring insights and recommendations to the forefront of stakeholders and executives' minds through engaging presentations
- Provide innovative solutions to improve operational efficiency and customer experience using knowledge automation and AI technology
- Bachelor's degree from a four-year college or university in a related field
- 6+ years of experience in data analytics, data science, or related analytical roles
- 3+ years of experience in customer support, customer care, or other service-related analytics roles working with customer support operational metrics
- 3+ years of experience analyzing CX metrics such as NPS and CSAT and providing thought leadership on CX best practices
- Demonstrated experience working with large datasets and statistical analysis methods, proficiency
- in using SQL
- Proficiency with data visualization tools such as Tableau or Power BI
- Experience using R, Python, or similar scripting languages/tools