Analytics Engineer I

Full-time - Entry Level

Alhambra, CA

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

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.

Responsibilities

• 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.

Requirements

• 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.

Nice-to-haves

• 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.