Minimum of 5 years of professional experience with advanced statistical analysis techniques and managing large datasets.
Minimum of 3 years of direct, hands on experience building or supervising Customer Experience (CX) measurement, such as Customer Satisfaction (CSAT), Customer Effort Score (CES), or Net Promoter Score (NPS).
Experience anticipating and balancing the needs of multiple stakeholders.
Intermediate SQL experience.
Confidence in designing and managing your own programs/projects with minimal supervision, comfortable with ambiguity in a fast-paced environment.
Excellent communication and presentation skills with the ability to adjust your approach to accommodate your audience, including explaining complex analytical insights to non-technical stakeholders.
Demonstrated curiosity to answer "why," particularly as it relates to measuring the customer experience at B2C or consumer electronics companies.
A proven track record of transforming data into insights to influence business decisions/strategies.
Extensive experience in program management, including directing complex, parallel work-streams with many cross-functional teams, including collaborating effectively with data scientists.
A passion for processing information and improving the customer experience.
Familiarity with AI/Machine Learning concepts and their application in customer feedback analysis.
Experience with customer journey mapping and optimization using data-driven approaches.