Senior Data Analyst,Patient Experience Platform

As a Senior Data Analyst on our Patient Experience Platform team, you will transform data into actionable insights that shape the future of patient engagement. Youll work with product, clinical, and engineering teams to analyze patient behaviors, satisfaction metrics, and platform usage, driving data-informed decisions that enhance the healthcare journey. What You'll Do Analyze structured and unstructured data to uncover trends in patient behavior, satisfaction, and engagement across the platform. Define, track, and report on KPIs related to patient experience, platform adoption, NPS, CSAT, and clinical outcomes. Collaborate with stakeholders to support experimentation (A/B testing), feature evaluation, and user behavior analysis. Design and maintain dashboards and self-service analytics tools to communicate insights effectively to business and clinical teams. Ensure accurate and consistent data capture across the platform in collaboration with product managers and engineers. Support efforts to improve data quality, integrity, and accessibility from various sources (EHRs, surveys, engagement tools). Translate complex data into compelling stories that inform decision-making and prioritize product enhancements. Maintain compliance with HIPAA and other healthcare data privacy and security standards. Mentor junior analysts and promote a data-driven culture across the organization. Drive initiatives for improving data governance practices, ensuring data accuracy and consistency. Lead the analysis of A/B test results to guide product and UX optimizations. Contribute to the creation of reports and presentations for senior leadership that summarize insights and recommend actions. What You Have Bachelors or Masters degree in Data Science, Statistics, Public Health, Computer Science, or a related field. 3+ years of experience in data analysis, preferably within healthcare or digital health technology. Proficiency in SQL and at least one analytical programming language (Python or R). Experience with BI tools such as Looker, Tableau, Power BI, or similar. Strong understanding of behavioral and product analytics, including funnel analysis, cohort analysis, retention, and segmentation. Familiarity with healthcare data formats (e.g., HL7, FHIR, EMR/EHR data, HCAHPS, CAHPS). Experience working with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift, Clickhouse). Knowledge of A/B testing methodologies and statistical significance. Strong data storytelling, communication, and collaboration skills. A passion for improving healthcare experiences through data and technology. Experience with predictive analytics or machine learning models is a plus. Knowledge of data visualization best practices to present complex findings in an easily digestible format. Familiarity with data privacy regulations, including GDPR, in addition to HIPAA. Ability to work with large-scale datasets and experience in data wrangling.