Customer Experience Data Analyst
New
J
JobgetherHealthcare
Based in the United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- PythonSQLData visualizationA/B testingRCRMData analytics
Requirements
- Associate’s or bachelor’s degree in Business, Mathematics, Healthcare Administration, Data Analytics, or a related field preferred.
- 3+ years of experience in data analytics, business analysis, customer operations, or a related analytical role.
- Strong SQL skills, including experience writing complex queries and working with large datasets.
- Experience using analytical tools such as Python or R for advanced reporting and analysis.
- Knowledge of experimentation methods, including A/B testing and basic causal analysis.
- Ability to translate complex data findings into clear recommendations for business stakeholders and leadership.
- Experience working with CRM platforms, reporting dashboards, workflow tools, and digital collaboration systems.
- Familiarity with AI-enabled productivity, documentation, analytics, or customer support technologies.
- Strong problem-solving, organizational, and communication skills with the ability to manage multiple priorities.
- Ability to work independently, navigate ambiguity, and collaborate effectively across diverse teams.
- Strong attention to detail with a commitment to accuracy, compliance, and delivering exceptional customer experiences.
Responsibilities
- Analyze customer onboarding activities, service interactions, and operational processes to identify opportunities for improved efficiency, accuracy, and customer satisfaction.
- Partner with stakeholders to define analytical needs, structure business questions, and deliver insights that support informed decision-making.
- Build and maintain reporting solutions, dashboards, and performance metrics to monitor customer experience trends and operational outcomes.
- Apply statistical analysis, experimentation methods, and predictive techniques to identify patterns, risks, and improvement opportunities.
- Use AI-powered tools and automation capabilities to improve knowledge accessibility, workflow efficiency, documentation quality, and decision support.
- Support customer onboarding optimization by reviewing documentation, identifying process gaps, and recommending scalable solutions.
- Perform quality assurance reviews to ensure customer communications, procedures, and operational activities align with established standards.
- Collaborate with data teams to improve data accuracy, availability, and reliability for reporting and analysis.
- Develop clear data storytelling materials and communicate findings to technical and non-technical stakeholders.
- Support continuous improvement initiatives by identifying trends, measuring performance, and recommending operational enhancements.
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