Data Analyst V

About the Customer Experience (CX) team at Client is dedicated to improving customer experiences across the entire customer journey. As a Customer Experience Analyst, you will be part of a global practice focused on understanding and learning from our customers. You will leverage customer insights to drive business improvements and promote customer-centric decision-making throughout the organization. You will play a pivotal role in boosting customer satisfaction and loyalty by analyzing feedback, identifying areas for improvement, and collaborating with cross-functional teams to develop and implement strategies that enhance the overall customer experience. By combining your strong background in CX/VoC, expertise in data analysis and storytelling, and passion for customer centricity, you will help shape the future of our customer experience program and contribute to the growth and success of our organization.

Job Responsibilities:

Work with large and complex datasets to solve challenging problems using various analytical and statistical approaches. Synthesize and analyze customer feedback from multiple sources (e.g., surveys, digital analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points, and areas for improvement. Apply advanced statistical modeling, machine learning, and natural language processing (NLP) to analyze large-scale customer support interactions (e.g., chat logs, call transcripts, support tickets) and extract actionable insights. Use clustering and segmentation techniques to identify common customer issues and recommend targeted solutions or self-service resources. Develop and maintain robust reporting and dashboards to track customer experience metrics and KPIs. Integrate customer feedback data with other transactional, operational, and behavioral data sources to create a comprehensive picture of customer experience drivers. Advocate for customers and influence corrective actions through periodic and ad-hoc reporting, proactively evangelizing insights among key stakeholders. Collaborate with cross-functional teams to identify root causes of customer issues and develop action plans to remediate and measure effectiveness. Communicate complex technical concepts to non-technical stakeholders.

Skills:

Very technical with marketing background. Customer segmentation for marketing. Customer support. Comfortable with temporary tables in SQL. Strong skills in Python Pandas and data structures. Experience with data modeling (regression, NLP). Experience with MAANG. Machine learning. Will they have the ability to know if things go wrong using AI. Use AI to accelerate the speed but know what is being produced. Customer Experience/Customer Support Preferred.

Education/Experience:

Master's or Ph.D. Degree in a quantitative field. Degree in Analytics, Statistics, Mathematics, Computer/Data Science, Engineering, or a related field. 6+ years of experience in data analytics, data science, or related fields. 3+ years of experience in customer experience, customer support, or customer insights analytics.