Senior Analytics Engineer, Decision Analytics

About the team:

The Decision Analytics team’s mission is to deliver insights 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 delivering analytics and insights to power decision making within Included Health, and we 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 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. To make it natural and common to create impact through data-driven insights, the data itself must be easy to discover, analyze and visualize. As we are accumulating more insights and data, we are also curating a “Common Data Model” that integrates data from disparate data sources within Included Health systems and 3rd party sources.

About the role:

We’re looking for candidates with excellent analytical ability and strategic intuition to lead 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 leader 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:

6+ years of work experience in highly quantitative roles or equivalent and relevant advanced degrees.
Ability to independently lead 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 clinical information models (e.g. FHIR) and terminology standards (e.g. ICD10, CPT, Snomed, LOINC, RXNorm)
Experience creating dashboards in Looker, Tableau or PowerBI is preferred

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