Senior Business Data Analyst

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.

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

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

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

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

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

Bachelor’sor Master'sdegreein

Health

Informatics,Data Science,Statistics, Economics,orarelatedquantitativefield

Strongverbalandwrittencommunication,technicalarticulation,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