What are the responsibilities and job description for the Analytics Engineer position at Wellvana?
Description
The Why Behind Wellvana:
The healthcare system isn’t designed for health. We’re designed to change that. We’re Wellvana, and we help doctors deliver life-changing healthcare.
Through our elevated value-based care programs, we’re revitalizing an antiquated system that’s far too long relied on misaligned incentives that reward quantity of care not the quality of it.
Our enlightened approach—covering everything from care coordination to clinical documentation education to marketing— ties the healthy outcomes of patients directly to shared savings for primary care providers, health systems and payors.
Providers in our curated network keep their independence, reduce their administrative headaches, and spend more time with patients. Patients, in turn, get an elevated experience with coordinated care between appointments that is nothing short of life-changing.
Named a 2024 "Best in Business" and 2023 "Best Place to Work" by Nashville Business Journal, we’re one of the fastest-growing healthcare companies in America because what we do works. This is the way medicine is meant to be.
Clarity on the Role:
Wellvana is seeking a highly experienced Analytics Engineer to lead the design and implementation of our data infrastructure. The Analytics Engineer will be responsible for managing data model, deep diving problems, and assisting with data pipelines and analysts and other stakeholders. The ideal candidate will have significant experience working in healthcare and a strong understanding of data management principles.
What's Expected:
- Design and build our healthcare data infrastructure, including data lakes, data warehouses, and data marts
- Lead the development of scalable and efficient data models to answer business questions efficiently
- Work with leadership to understand and interpret the impacts to cost and quality of initiatives using relevant data sources and analytic platforms.
- Build BI dashboards to allow easy understanding of the data and implications
- Build resilient and automated processes to streamline data ingestion, manipulation, and output
- Collect and process data from a variety of sources, including electronic health records, claims data, and patient-generated data
- Ensure the accuracy, completeness, and consistency of healthcare data
- Develop and implement data quality control processes
- Collaborate with data analysts and other stakeholders to ensure data is easily accessible and understandable
- Maintain up-to-date knowledge of healthcare data standards, regulations, and best practices
- Optimize data storage and retrieval processes for efficiency and scalability
- Troubleshoot data infrastructure issues and implement solutions
- Participate in data governance and security initiatives
Requirements
- Integrity: The right way is the only way.
- Dependability: You do what you say you’re going to do.
- Advocacy: You fight for the best possible outcome for providers and their patients.
- Clarity: You make it all understandable.
Education (Degree/Major):
- Bachelor's or Master's degree in computer science, engineering, or related field
Years of Related Experience:
- 4 years of experience as a data engineer, with specific experience in healthcare preferred
Skills
- 3 Years working with Enterprise Data Warehouses in a healthcare environment
- Strong SQL and database design skills
- Programming in at least one language such as Python, JavaScript, Ruby, etc
- Experience with ETL tools, such as dbt, Apache Nifi or Talend
- Familiarity with healthcare data standards, such as HL7, FHIR, and HIPAA
- Familiarity with “modern data tooling” (e.g., dbt, Snowflake, AWS, Stitch, Fivetran, etc.)
- Knowledge of data governance and security principles
- Excellent problem-solving and troubleshooting skills
- Ability to work on a team and as an individual
- Strong communication and collaboration skills
