Data Analyst
Remote
Full Time
#Healthcare
#Telemedicine
#Data Analysis
#Python
#ETL
#AWS
#Snowflake
#DBT
#Looker
#Tableau
#Data
Data Analyst
Ventricle Health (www.ventriclehealth.com) is a high-growth virtual healthcare startup launching a national cardiologist network providing specialty telemedicine to members with prevalent cardiovascular diseases including heart failure, coronary artery disease and atrial fibrillation.
Our mission is to deliver a world-class patient experience in which patients have frictionless access to the best healthcare providers, devices, and therapies. Through the implementation of remote patient monitoring via connected medical devices and evidence-based therapy we intend to improve patients’ quality of life across the nation, focusing on heart health.
Ventricle Health is well-funded, advised by industry leaders, and led by former executives from leading high-growth healthcare companies including Evolent Health, Strive Health, and Unite Us. Ventricle Health is seeking a full-time Data Analyst to join our growing team, where you'll play a crucial role in transforming healthcare through insightful data analysis. We are seeking a talented individual to analyze clinical data, claims data, and other relevant healthcare datasets to drive actionable insights, enhance member population understanding, and contribute to the improvement of both growth and clinical performance.
Key Responsibilities
Data Engineering:
-
- Perform Extract, Transform, Load (ETL) processes to ensure accurate and timely movement of data from diverse sources into a centralized data repository, employing data cleansing and transformation techniques to maintain data quality and integrity.
Data Analysis
- Conduct comprehensive analysis from the claims and clinical data warehouse to extract and interpret relevant data.
- Extract unique insights or trends from insurance claims and clinical data, such as comorbidities and common healthcare services utilized.
Generating Insights
- Collaborate with the Growth Product Manager to translate data insights into actionable strategies for engaging identified members.
- Analyze clinical data of engaged and enrolled members, including baseline pain, surgery intent, and disability, and identify correlations with prior healthcare utilization.
Clinical Operations Insight
- Analyze the performance of treatment protocols, achievement of milestones, and variance at different levels.
- Generate and validate hypotheses regarding clinical operations and work with cross-functional teams to escalate these insights.
Client Reporting and Material Preparation
- Prepare and maintain dashboards that translate data insights into client-facing materials.
- Develop predictive models for future results and forecasts of early indicators into long-term value.
- Prepare performance year retrospective summaries.
Requirements
- Degree in Information Technology, Computer Science, Statistics, Biostatistics, or related field.
- 3+ years in a similar role is preferred.
- Proficiency in Python and other relevant programming languages.
- Familiarity with modern data stack technologies and cloud-based platforms (e.g., AWS, Snowflake, Dbt, ETL, ect.).
- Proficiency in visualization preferably with Looker, Tableau, ect
- Experience working with claims data and taxonomies.
- Familiarity with Github/Notebook documentation.
- Exceptional communication skills.
- Detail-oriented with a commitment to accuracy.
- Ability to translate complex data into understandable insights.
If you are passionate about leveraging data to drive positive change in the digital healthcare space, we invite you to apply and be a key player in our mission to enhance healthcare outcomes through data-driven insights.
Ventricle Health offers a competitive compensation and benefits package including medical, dental, and vision.
Ventricle Health is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant or employee based on any legally-recognized basis, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age (40 and over), pregnancy (including childbirth, lactation, and related medical conditions), national origin or ancestry, citizenship status, physical or mental disability, genetic information (including testing and characteristics) or any other consideration protected by federal, state or local law.
