Senior Analytics Engineer - Tuesday Health

Who We Are

Tuesday Health launched in 2023 to deliver compassionate, supportive care for patients and caregivers navigating serious illness. We believe that each patient"s journey is unique. As such, we deliver member-directed, whole-person care to seriously ill patients in our program, using leading edge supportive care models, including appropriate transitions to hospice when the time is right. This results in dramatically improved quality of life for members and their caregivers, and a meaningful reduction in unproductive medical spend. Our overall mission is to transform serious illness and end of life care; our team believes deeply in this mission and puts our members first in all that we do.

Tuesday Health is looking for a Senior Analytics Engineer who will:

· Maintain a scalable dbt project that makes high-quality, well-organized data available for downstream systems including Tuesday's care management platform (Elevate) and business intelligence tooling (ThoughtSpot)

· Support technical integration with external data sources including new clients, HIEs, and (Q)HINs and normalize data for the Tuva data model

· Build resilient data pipelines (Azure Databricks, Delta Live Tables, dbt, Terraform) that ingest and transform data; incorporate data testing throughout

· Design and build highly useful data models that support analytic requests and enable fast, data-driven decision making across the organization

· Work with operational stakeholders (e.g. clinical delivery, member/provider engagement) to define and prioritize analytic needs and proactively identify analytics use cases

· Lead, mentor, and expand a top-tier analytics team. Promote a culture of excellence and continuous improvement

A strong candidate will:

· Be passionate about improving healthcare and Tuesday's mission

· Be a player/coach who is excited about building and growing a team

· Able to both read and write lengthy documentation

· Be comfortable in a fluid, fast-changing environment

· Be intellectually curious

· Balance deriving insights with building tidy, scalable, well-designed solutions

· Foster a a culture of data-driven decision making and data self-service

· Have a healthy paranoia when it comes to delivering quality, error-free work

Skills & Experience

Required:

· Strong proficiency with SQL

· Strong proficiency with dbt

· Strong experience in integrating healthcare datasets (e.g. claims, ADT/HIE, FHIR) and population health analytics

· Proficiency with Spark (PySpark, SparkSQL APIs)

· Comfortable managing SDLC with git and CI/CD

· Experience leading and managing an analytics team and/or analytics projects

· Familiarity with healthcare regulations and certifications including HIPAA, HITRUST, and SOC2

Nice-To-Have:

· 3+ years of experience working in healthcare analytics roles

· Proficiency with one or more BI tools (Tableau, Looker, PowerBI, ThoughtSpot, etc.)

· Experience working in a cloud-based data lake / data warehouse environment like Snowflake or Databricks

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