ABOUT US
At Vida, we help people get better — and we’re helping the healthcare system get better, too.
Vida is a virtual health clinic that provides expert, personalized, on-demand health coaching and programs from a network of experienced health care providers — like Prescribers, Registered Dietitians, Therapists and Health Coaches — through an easy-to-use app. We focus on managing chronic cardiometabolic conditions — like diabetes, obesity and hypertension — as well as achieving lifestyle health goals like eating more healthfully, getting more exercise, losing weight and reducing stress.
By combining advanced technology with the top-notch healthcare providers, Vida is breaking down the barriers that have historically kept people from getting the best care. We are trusted by Fortune 1000 companies, major national payers and large providers to enable their employees to live their healthiest lives.
• *Vida is authorized to do business in many, but not all, states. If you are not located in or able to work from a state where Vida is registered, you will not be eligible for employment. Please speak with your recruiter to learn more about where Vida is registered.
Responsibilities:
• Partner with customer success, product and enterprise teams to support robust clinical outcomes monitoring and reporting
• Clinical data quality control and cleaning
• Clinical (biometrics, self-report, survey-based, claims-based) data reporting for internal and external clients
• Clinical outcomes analytics that includes trend analysis and creating visualizations to communicate health outcomes and drive cost efficiency within a clinical protocol/intervention
• Develop dashboards, reports and documentation to help teams make data-driven decisions
• Collaborate with other analysts, data scientists, engineers and clinical researchers to ensure data quality and analytical rigor
Requirements:
• Bachelor’s degree in a quantitative field (e.g., mathematics, statistics, computer science, economics, or related)
• 1-2 years experience as a data analyst in the healthcare technology space or related field
• Familiarity with Google Cloud Platform, Looker (data visualization), dbt, or other business intelligence tools
• Proficiency with SQL and familiarity with Python or R and ability to write clean, maintainable code for data analysis
• Clinical analytics training and including experience analyzing clinical outcomes data (both biometric and self-reported) and healthcare claims (medical and pharmacy) data
• Knowledge of HIPAA, data privacy guidelines as they relate to PHI and digital health
• Experience with claim files and definitions
• Experience working with multidisciplinary technical teams including product managers, designers and engineers
• Experience in data/database management
• Proactive and collaborative working style and ability to work with both technical and non-technical teams
• Experience in a startup or fast-growing company
• Basic statistical analysis
• Interest in learning new platforms, tools and innovations in data analytic
