Job
Description
As a Senior Data Analyst on the Patient Experience Platform team at Commure, you will play a crucial role in transforming data into actionable insights that will shape the future of patient engagement. Your primary responsibility will be to analyze both structured and unstructured data to identify trends in patient behavior, satisfaction, and engagement across the platform. By working closely with product, clinical, and engineering teams, you will drive data-informed decisions that aim to enhance the overall healthcare journey for patients. Key Responsibilities: - Analyze data to uncover trends in patient behavior, satisfaction, and engagement on the platform. - Define, track, and report on key performance indicators (KPIs) related to patient experience, platform adoption, Net Promoter Score (NPS), Customer Satisfaction (CSAT), and clinical outcomes. - Collaborate with stakeholders to support experimentation, feature evaluation, and user behavior analysis through A/B testing. - Design and maintain dashboards and self-service analytics tools to effectively communicate insights to business and clinical teams. - Ensure accurate and consistent data capture across the platform, working closely with product managers and engineers. - Support efforts to improve data quality, integrity, and accessibility from various sources such as Electronic Health Records (EHRs), surveys, and engagement tools. - Translate complex data into compelling stories that inform decision-making and help prioritize product enhancements. - Maintain compliance with HIPAA and other healthcare data privacy and security standards. - Mentor junior analysts and promote a data-driven culture within the organization. - Drive initiatives to enhance data governance practices, ensuring data accuracy and consistency. - Lead the analysis of A/B test results to guide product and User Experience (UX) optimizations. - Contribute to creating reports and presentations for senior leadership summarizing insights and recommending actions. Requirements: - 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 Business Intelligence (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 such as HL7, FHIR, EMR/EHR data, HCAHPS, and CAHPS. - Experience working with cloud data warehouses like BigQuery, Snowflake, Redshift, or Clickhouse. - Knowledge of A/B testing methodologies and statistical significance. - Excellent data storytelling, communication, and collaboration skills. - Passion for improving healthcare experiences through data and technology. - Experience with predictive analytics or machine learning models is a plus. - Familiarity with data visualization best practices to present complex findings in an easily digestible format. - Knowledge of data privacy regulations including GDPR, in addition to HIPAA. - Ability to work with large-scale datasets and experience in data wrangling.,
