Data Analytics Engineer
Remote (United States)
Suvida Healthcare
- Earn Trust
- Building Relationships
- Creating Joy
- Doing Right
- Improving Every Day
- Moving Forward
- Purpose Driven Career
- Competitive Pay
- Best-In-Class Medical/Dental Coverage
- Free Mental Health & Life Coaching for Team Members and their Dependents
- Holiday Time Off with Pay
- Paid Community Service Day
- Paid Parental/Family Leave
- Paid Bereavement Leave
- Generous Paid Time Off (PTO)
- 401k Retirement Plan with Company Match
- And much more....
Position SummarySuvida Healthcare’s Data Strategy and Analytics team is seeking a talented Analytics Engineer to work in our Data and Analytics team to help us continue building a robust modern data platform. This platform will service broad internal teams including Population Health, Clinical, Finance, and Strategy teams. The Analytics Engineer will be responsible for playing a key role in leading delivery of data and analytics projects, data engineering processes, and implementation of data solutions driving insights for the business. This role will serve as an important part of the Data and Analytics team to improve data processes designs that assist the primary care team to deliver high quality preventive care to patients.
Essential responsibilities of this role include, but are not limited to:
- Understand our data needs, design and implement data extraction processes, model data, and write data transformations.
- Ensure that data pipelines are scalable, repeatable, and secure.
- Work with cross-functional teams and stakeholders to identify use cases for data reporting and dashboarding and implement new pipelines and data models.
- Help train users on data capabilities and best practices.
- Help prepare and perform complex analyses of healthcare data, serving as an SME to cross-functional stakeholders.
What You’ll Bring - Experience Requirements
Knowledge, Skills, and Abilities
- Familiarity with setting up CI/CD data pipelines with observability and fault tolerance.
- Familiarity with DAG principles.
- Proficient in SQL and have a strong working knowledge of software engineering workflow tools (version control, testing principles, etc.). Familiarity with Python, or similar data-centric language.
- Proven ability to model data for reporting, analytics use cases.
- Experience and strong interest in the analytics side of data, e.g., collecting requirements, defining and implementing metrics, developing dashboards.
- Healthcare experience, specifically value-based care, a plus.
Education, Experience, Licensure, or Certification Requirements
- Undergraduate or Graduate degree in STEM-related field, or equivalent on the job experience is preferred
- 2+ years of experience in Data, Analytics, or a similar role.
- 1+ years of experience with modern cloud-based data tools for extraction, warehousing, transformation, and orchestration. Snowflake and DBT are preferred.
Suvida Healthcare provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: CI/CD Data Analytics Data pipelines Data strategy dbt Engineering Finance Pipelines Python Snowflake SQL STEM Testing
Perks/benefits: 401(k) matching Competitive pay Equity / stock options Health care Medical leave Parental leave Team events
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