Data Insights Engineer

Data Insights Engineeragilon health is transforming healthcare by empowering community-based physicians with the resources and expertise they need to innovate the payment and delivery of care for seniors. The agilon health Total Care Model is powered by our purpose-built platform and frees physicians from the constraints of the traditional fee-for-service reimbursement model, all enabled through a growing national network of like-minded physician partners. With agilon health, physicians are able to practice team-based, coordinated care to serve the individual needs of their senior patients and to transition to a sustainable and predictable, long-term business model.As you might imagine, analytics and insights are the heart of how we support our physician partners and is our special sauce.

We have a lot of analytics programs in place already, but we need more! From generating insights related to our risk adjustment programs to helping analyze health plan attribution, health plan and membership trends, building our next generation Cube or analytics surrounding our brand new data lake, there's a lot of data to process and actionable insights to present, as well as analytics infrastructure to build. You will be executing some of this work individually, and others in tight partnership with other critical teams such as Finance, Clinical Analytics, and Medical Economics. There’s much more data we can be leveraging and analyzing to generate and test our hypotheses to help improve patient outcomes and reduce medical waste. Come join the team and help make a direct impact on our senior members’ lives!More about this role:- Be part of an agile team working collaboratively with agilon leadership and many different cross-functional teams, including UX, Product, Technology, Operations, and our Clinician teams- Leverage your analytical thinking to explore our ever-growing datasets to test hypotheses and bring life to your own insights- Generate insights that help improve patient outcomes and/or reduce medical waste- Continuously learn and share your new-found knowledge with othersDesired Traits:- 2-4 years experience performing data analysis and generating intuitive reports in the healthcare domain: e.g.

risk adjustment, clinical analytics, clinical quality, or health economics- Highly proficient in SQL and data modeling, and familiarity with any data visualization tool (e.g. Sigma, Tableau, Power BI, or Excel)- Some experience with coding in Python or other languages is preferred- Takes ownership over the insights the team generates and the processes used to develop those analyses, keeping our users' needs in clear focus- Intellectually curious about data, with an ability to balance meeting deadlines with the ability to explore beyond the immediate problem at hand- Comfortable in a startup environment and ready to “roll up your sleeves”- Excellent communicator and a nimble learner- Enthusiastic about getting things done!