Senior Business Data Analyst

Data Analyst

Location: Hybrid (NJ)

Roles and Responsibilities

Data Governance and Administration: Own VBC reporting administration, data integrity and compliance workflows to ensure reliable metrics

Healthcare Data Analysis: Analyze medical claims, clinical records, and population health data to measure performance against VBC goals like total cost of care and quality 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

Demonstrable AI Knowledge

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., GitHub 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:

Experience with cloud data warehouses (e.g., Snowflake, Databricks, AWS)

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

Bachelor's or Master's degree in Health Informatics, Data Science, Statistics, Economics, or a related quantitative field

Non-Technical /Behavioral Competencies Required:

Strong verbal and written communication, technical articulation, listening, and presentation skills are essential

Should have proven analytical and problem-solving skills

Demonstrated expertise in prioritization, time management and stakeholder management (both internal and external) is necessary

Should be a quick learner, self-starter, proactive, and an effective team player

Must have experience working under tight deadlines within a matrix organizational structure