Analytics Engineer, Product Insights

Job Description

The Product Insights team's mission is to deliver a strategic vision so that Included Health can impact the Quintuple Aim of healthcare: improved member experience, better health outcomes, lower costs, clinician well-being, and health equity. We are responsible for internal analytics and partner with a wide variety of cross-functional teams including operations, finance, product, clinical as well as data science and data engineering. Data is at the heart of everything we do here at Included Health, and our team uses it to give our partners super powers. This encompasses everything from understanding what our members need, improving our product features, optimizing our operations, and many other critical business decisions.

This candidate brings exceptional analytical skills and strategic insight to advance our core data modeling initiatives as we integrate product, claims, EHR, and 3rd party vendor data into a common model. This person will drive impact by understanding how data is created and used at Included Health and will set the data modeling strategy to power analytics and our product experiences. This person will also shape how we roll out new data to the company and work with our data platform team to develop the tools needed to maintain and scale our data modeling efforts. This is a phenomenal opportunity for someone with a passion for improving healthcare and interested in becoming an expert across multiple data domains.


Responsibilities:
  • Own and lead projects independently and in collaboration with cross-functional teams
  • Develop a deep understanding of how data is used in analytics, data science models, and to power patient and care team experiences
  • Leverage internal tools to map Included Health and 3rd party data to a 'Common Data Model'
  • Collaborate with our data platform to inform development of tools to scale data modeling and data rollout
  • Scale our impact so we can bring our services to more people in need

  • Qualifications:
  • 3+ years of work experience in highly quantitative roles or equivalent and relevant advanced degrees.
  • Ability to independently drive results working on complex, ambiguous projects with a first principles mindset
  • Ability to learn and onboard to new data domains and technologies
  • Hands on experience using analytics to drive data-informed decision-making
  • Ability to navigate and join across multiple complex data sets using relational databases (examples include SQL, Pandas, R).
  • Knowledge of the Healthcare ecosystem and use cases - e.g., care workflows, care plans, prior auth, population health, segmentation/stratification, risk computation, etc. preferred
  • Experience with terminology standards (e.g. ICD10, CPT, Snomed, LOINC, RXNorm)
  • Experience creating dashboards in Looker, Tableau or PowerBI is preferred