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Analytics Engineer

$115k - $130k

Astrana Health, Inc.

Analytics Engineer Department: Data - Analytics Employment Type: Full Time Location: 1668 S. Garfield Ave. 2nd Floor, Alhambra, CA 91801 Compensation: $115,000 - $130,000 / year Description We are currently seeking a highly motivated Healthcare 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. Our Values: Put Patients First Empower Entrepreneurial Provider and Care Teams Operate with Integrity & Excellence Be Innovative Work As One Team 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. Maintain and enhance/upgrade the existing Risk Adjustment score calculator for generating RAF scores for the Medicare Advantage population. Adept at building scalable data solutions and collaborating with downstream analysts to ensure clarity and usability of datasets related to Risk Adjustment, RAF scores, and HCC gap closure 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 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. Expertise in Azure Databricks, PySpark, and SQL, specializing in Medicare Advantage Risk Adjustment and Quality Metrics 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 with cloud-computing platforms such as Azure. Experience working in the healthcare industry Familiarity with database management systems such as MongoDB or Microsoft SQL Server. Strong written and oral communication skills. 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: $115,000 - $130,000. This range represents our national target range for this role. Astrana Health is proud to be an Equal Employment Opportunity and Affiliated 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 View email address on click.appcast.io 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.

  • LI-remote
  • J-18808-Ljbffr Astrana Health, Inc.

Vacancy posted 1 day ago
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