Analytic Engineer - Healthcare Data Analyst - athenaNet

Analytic Engineer - Healthcare Data Analyst - athenaNet 

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  Partner directly with business leaders, practice operators, and clinicians to scope ambiguous questions, design the right analysis, and deliver clear, defensible answers. 

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  Build the data assets — curated tables, derived metrics, and reusable models — that power the dashboards and reports our organization runs on. 

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  Develop and maintain executive- and operator-facing dashboards in Sigma, enabling leadership to self-serve on operational and financial performance instead of relying on bespoke spreadsheet work. 

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  Translate athenaNet's raw data — appointments, encounters, claims, charges, transactions, patient and provider entities — into trustworthy datasets that downstream consumers can actually use. 

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  Identify performance improvement opportunities across revenue cycle and clinical workflows, and translate findings into actionable recommendations for operators and executive leadership. 

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  Mentor people within the data team. Coach partners across business, operations, and clinical teams — raising analytical rigor, documentation, and data fluency across the organization. 

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  Set the standard for how analytics gets done at Tryon as the function grows. 

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  Other tasks as assigned. 

 
Education and Experience:

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  6+ years of experience using healthcare data to answer business questions, with strong preference for candidates with deep revenue cycle management (RCM) and/or ambulatory clinical operations exposure. 

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  In-depth, hands-on knowledge of athenaNet's data model. Tryon runs on athenahealth, and we need an Analytic Engineer who can navigate that data on day one without a long ramp. 

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  Demonstrated experience designing and shipping production dashboards in Sigma Computing, Tableau, or a comparable BI tool. 

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  Advanced SQL (Snowflake and/or Oracle) and the ability to design data assets that are performant, well-modeled, and easy for downstream consumers to use. 

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  Experience with dbt preferred. 

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  A track record of working directly with senior business stakeholders — translating fuzzy strategic questions into specific analyses, and findings into decisions. 

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  Familiarity with value-based care, patient panel analytics, or independent physician group operations. 

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  Background in economics, statistics, or another quantitative discipline preferred. 

• Work consistently requires walking, standing, sitting, lifting, reaching, stooping, bending, pushing, and pulling. 

• Must be able to lift and support weight of 35 pounds.  

• Ability to concentrate on details. 

• Use of computers for long periods of time.