Senior Analytics Developer - Value Based Care

Overview:

In the capacity of the Value-Based Care Analytics Developer, Senior, the incumbent assumes responsibility for conceiving, implementing, and refining data analytics solutions that endorse the organization's value-based care strategies and priorities. By creating advanced tools, data pipelines, and reporting systems, this role empowers stakeholders to gain a comprehensive understanding of cost dynamics, quality standards, resource usage, and risk profiles across diverse payment models such as shared savings and capitation. Proficiency in contemporary data platforms and analytical instruments equips professionals to make data-informed decisions, capitalizing on insights derived from multidimensional healthcare domains encompassing clinical, operational, and financial facets. Active collaboration with analytics leadership and product management teams is essential to grasp end-user needs and devise user-friendly, automated, and scalable analytics products and services.

Responsibilities:

Analytics Development

• Develop and sustain analytics resources and solutions (including datasets, reports, and interactive dashboards) that are utilized to extract meaningful findings from claims, clinical, and operational data to evaluate efficiency in value-driven agreements. This encompasses analyzing essential performance indicators like the complete cost of care, quality assessments, risk profiles, utilization rates, and metrics for shared savings.
• Oversee and improve the effectiveness of data manipulation procedures and analytics solutions. Make certain that performance monitoring is automated with appropriate alerts in place.

Advanced Analytics Support

• Build and sustain analytic frameworks to bolster fundamental capabilities centered on value, such as recognizing members, gauging performance, classifying data, and adjusting for risk factors
• Comprehend and exploit diverse data origins as needed, aid in data administration and automation of data flow in partnership with data engineering teams and external vendors such as payers when necessary.

Cross-Functional Collaboration

• Engage with value-based care analysts, analytics product leads, data scientists, and health economic professionals to carry out user story initiatives.
• Team up with IT and data governance units to secure data precision, authenticity, and alignment with relevant governance and corporate protocols

Qualifications:

EDUCATION:

Minimum of 7 years of experience. A bachelor's degree is considered to meet this requirement. Other formal training in data analytics may be considered on a case-by-case basis.

EXPERIENCE:

Experience Requirements:

• Formal training or work experience in data analytics, data analysis, or data science.
• Proven experience using data and analytics tools. Strong working experience using SQL and at least one analytics or visualization tool (PowerBI, Tableau, SigmaComputing, or other).
• Experience working in a modern cloud environment (Snowflake and/or Databricks) and with modern data management tools
• Experience working with healthcare data types including claims data, payor revenue/premium data, payor supplemental data, clinical data including clinical quality metrics (HEDIS) and risk adjustment (HCCs), social determinants of health (SDOH), and operational data and KPIs.
• Knowledge of and experience with electronic health records (EHRs, such as Epic, Cerner, eCW, Allscripts, Athena) and population health management platforms (such as Epic's Value Based Care, Innovaccer, Arcadia, Lightbeam or other care management or population health platforms)
• Understanding of clinical workflows and clinical operations as they relate to value-based care and population health
• Genuine desire and curiosity to build analytics applications that wow users and reduce their burden in accessing and using data.
• Deep commitment to continuous learning as part of a cross-functional team that includes clinical and non-clinical stakeholders.
• Experience working within an agile delivery environment (DevOps)
  Preferred Experience
• Knowledge of and experience with healthcare claims data and related claims analytics tools (such as Milliman?s MedInsight, MedeAnalytics, Tuva or claims analytics tools)

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