Hybrid Healthcare Data Strategist Value- Care

Spectra Medix is at the forefront of transforming healthcare, empowering health plans and health systems with the tools and insights they need to provide better, more cost-effective care to the communities they serve. Our cutting-edge platform delivers advanced analytics that help organizations excel in the transition to new value-based payment (VBP) models.

By combining advanced technology with a team of seasoned experts, we provide a unique solution tailored to meet the needs of the healthcare industry during this critical phase of value-based care evolution. Our platform is strategically designed to guide health plans, accountable care organizations, and health systems in their journey toward achieving success in value-based payment initiatives.

We are committed to creating an environment where innovation thrives, employees are empowered to drive meaningful change, and every team member plays a key role in reshaping the value and quality equation in healthcare. Our organization’s long-term stability is grounded in this commitment, and we prioritize our employees' growth, well-being, and success as the foundation for a thriving future—both for them and for the communities we serve.

Location:

Hybrid (NJ)

Data Governance and Administration :

OwnVBCreportingadministration,data integrity and compliance workflows to ensure reliable metrics

Healthcare Data Analysis :

Analyzemedicalclaims,clinical records,andpopulationhealthdatatomeasureperformanceagainstVBCgoalsliketotalcostofcareandquality metrics

Cross-Functional Collaboration:

Partner with clinical, finance, product, and engineering teams to align data insights with organizational and client objectives.

Product Development:
Support building of interactive dashboards, scorecards, and ad-hoc reports using BI tools like Tableau and/or SaaS platforms

Actionable Insights Delivery:
Translate technical findings into plain-language business recommendations for non-technical stakeholders and executive leadership

AI C ML Literacy:
Understanding foundational AI/ML concepts and how they apply to healthcare reporting analytics

AI Tool Integration:
Collaborate with data scientists to embed ideas directly into the reports and dashboards

Prompt Engineering:
Leverage generative AI assistants to accelerate SQL query writing, automate documentation, and build prototype data models

Executive Storytelling:
Synthesize intricate technical and statistical findings into plain-language business recommendations for internal leadership

Requirements & Qualifications Technical Skills & Tools:

Database Querying:
Expert-level SQL proficiency for data extraction, manipulation, and optimization

Programming C Scripting:
Strong competency in Python or R to manipulate data, connect to AI APIs, and evaluate model evaluation metrics (e.g., ROC/AUC curves)

Business Intelligence:
Advanced knowledge of Power BI or Tableau, specifically utilizing native AI plugins (e.g., automated key influencers, smart narratives)

AI Productivity:
Experience using generative AI coding assistants (e.g., Git Hub Copilot) to accelerate query writing and documentation

Domain Knowledge&Experience:

Value-Based Care Expertise:
Strong understanding of VBC reimbursement frameworks (e.g., ACOs, Capitation, Bundled Payments) and risk adjustment methodologies (e.g., CMS-HCC model)

Regulatory Knowledge:
Familiarity with healthcare quality rating systems (HEDIS, MIPS) and absolute compliance with HIPAA regulations regarding Protected Health Information (PHI)

Experience:

6-8+ years of experience as a data analyst within a healthcare payer, provider, or specialized health-tech vendor organization

Preferred Qualifications:

Experiencewithclouddatawarehouses (e.g.,Snowflake,Databricks,AWS)

Basic understanding ofmachine learning frameworks (e.g.,scikit-learn)

Bachelor’sor Master'sdegreein

Health

Informatics,Data Science,Statistics, Economics,orarelatedquantitativefield

Strongverbalandwrittencommunication,technical articulation,listening,and presentation skills are essential

Shouldhaveprovenanalyticalandproblem-solving skills

Demonstratedexpertisein prioritization,time management and stakeholder management (both internal and external) is necessary

Shouldbeaquicklearner,self-starter,proactive,andaneffectiveteamplayer

Musthaveexperienceworkingundertightdeadlineswithinamatrixorganizational structure