Bachelor’s degree in computer science, data science, analytics, statistics, or related field; Master’s degree preferred., Strong SQL proficiency and intermediate Python knowledge; experience with C, C++, Java, and/or PySpark preferred., Experience in working with large datasets and familiarity with database management systems such as MongoDB or Microsoft SQL Server., Strong written and oral communication skills, with 4+ years in the data and analytics landscape..
Key responsibilities:
Implement quality measures, risk adjustment models, and other metrics for datasets from clients.
Develop high-quality data models and build scalable ELT pipelines and business intelligence dashboards.
Take ownership of reporting domains and interface with business stakeholders to understand their requests.
Apply data quality checks to ensure accuracy of downstream analytical products.
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Astrana Health is a leading provider-centric, technology-powered healthcare company enabling providers to deliver accessible, high-quality, and high-value care to all. Leveraging its proprietary end-to-end technology solutions, Astrana operates an integrated healthcare delivery platform that enables providers to successfully participate in value-based care arrangements, thus empowering them to deliver high quality care to patients in a cost-effective manner.
Headquartered in Alhambra, California, Astrana serves over 10,000 providers and 900,000 Americans in value-based arrangements. Its subsidiaries and affiliates include management services organizations (MSOs), affiliated independent practice associations (IPAs), accountable care organizations (ACOs), and care delivery entities across primary, multi-specialty, and ancillary care. For more information, please visit www.astranahealth.com.
Location: 1668 S. Garfield Ave. 2nd Floor, Alhambra, CA 91801
Compensation: $110,000 - $125,000 / year
Description
We are currently seeking a highly motivated Analytics Engineer I. This role will work closely with data scientists, software engineers, data engineers, and clinical leaders to produce deliverables for internal and external clients. With over a million managed lives across the country and terabytes of data generated, our teams need to be continuously equipped with the tools and insights to drive strategy and innovation to further our core values of improving patient outcomes and empowering our providers.
What You'll Do
Use best software engineering practices to implement quality measures, risk adjustment models, and other metrics for datasets originating from internal and external clients.
Develop high quality, maximally available data models which are intuitive to data analysts and trusted by stakeholders.
Build scalable ELT pipelines and business intelligence dashboards as needed, embracing automation wherever possible.
Acquire deep domain knowledge in healthcare operations and track regulatory developments related to analytical products you maintain.
Apply data quality checks which proactively identify data issues and distributional shifts to ensure accuracy of downstream analytical products.
With guidance, take ownership of one or several reporting domains, interfacing with business stakeholders to understand and deliver their requests.
Qualifications
Bachelor’s degree in computer science, data science, analytics, statistics, or related field; Master’s degree preferred.
Strong SQL proficiency and intermediate python knowledge; additional experience with C, C++, Java, and/or PySpark preferred.
Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including documentation, coding standards, code reviews, source control management, build processes, testing, and operations.
Experience in working with large datasets.
Experience in API development or management.
Experience with cloud-computing platforms such as AWS or Azure.
Experience working in the healthcare industry
Familiarity with database management systems such as MongoDB or Microsoft SQL Server.
Familiarity with business intelligence exploratory or visualization tools (e.g. Tableau, PowerBI).
Strong written and oral communication skills.
You're great for this role if:
4+ years experience in the data and analytics landscape
3+ years programming experience using version control to manage code changes and contribute to projects.
2+ years experience in managed care or value-based care data field.
Environmental Job Requirements and Working Conditions
This position is remotely based in the U.S.
The total compensation target pay range for this role is: $110,000 - $125,000. This range represents our national target range for this role.
Astrana Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided based on qualifications, merit, and business need. If you require assistance in applying for open positions due to a disability, please email us at humanresourcesdept@astranahealth.com to request an accommodation.
Additional Information: The job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer as the needs of the employer and requirements of the job change.
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English
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