Senior Analytics Engineer - Remote

At Author Heath, we are dedicated to meeting our patients and their caregivers where they are with a hybrid care model—virtual clinicians with in-market support staff—that flexibly supports our patients’ health and needs. We are seeking professionals who are enthusiastic about working on a tech-enabled interdisciplinary team to support an underserved population of older adults with psychiatric illness. We value non-judgmental, respectful, and empathetic interactions, aiming to meet the unique needs of each patient and caregiver. Our primary mission is to deliver outstanding care for seniors with serious mental illness (SMI), substance use disorders (SUD) and dementia. We are committed to making a significant impact in the lives of older adults and their caregivers. With our advanced technology, our patients and their caregivers can receive care focused on meeting their needs holistically. Join us in our mission to revolutionize healthcare.

What is your superpower?

Design scalable data models optimized for analytics
Develop and maintain analytics code using dbt and BigQuery
Monitor and troubleshoot analytics code
Maintain a high level of quality in software through automated testing, profiling, and debugging
Partner with data scientists, product managers and engineering teams to understand analytics and reporting requirements
Understand the business model, the key metrics (how they’re defined and calculated) and how metrics are used to drive decision making
Ensure all data assets are well documented from schema level descriptions to architecture and documentation
Identify opportunities to improve data analytics systems and processes

What we are seeking:

High level of empathy and humility
Experience working with healthcare datasets and domain knowledge of common healthcare data types such as clinical, claims, pharmacy, EHR, genomic, etc.
3-5 years experience as an analytics/data engineer or similar role
Proficiency with dbt
Extensive experience with SQL
Experience with cloud platforms like Snowflake, GCP or Azure
Experience with modern business intelligence tooling like mode analytics, looker, tableau
Experience building and optimizing data warehouses
Proven experience with data modeling (dimensional modeling, star schema, etc.)
Strong problem solving and troubleshooting skills

Nice to have:

Understanding of healthcare data privacy regulations such as HIPAA
Experience implementing secure and compliant data pipelines for sensitive healthcare data
Knowledge of tools and technologies commonly used in healthcare such as FHIR, HL7, claims,etc. is a plus
Experience or interest in value-based care, alternative payment models or population health

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