ABOUT PEOPLEONE HEALTH:

PeopleOne Health is one of the fastest-growing providers of value-based primary care and has earned the best-in-class member satisfaction scores. We deliver exceptional healthcare that reduces costs and significantly improves health outcomes by focusing on preventive care, behavior change, and keeping people healthier. The key to our successful culture is living our motto: care for yourself; care for each other; care for our members.

JOB SUMMARY:

We are looking for a Senior Analytics Engineer who builds - someone who can turn fragmented healthcare data into operational dashboards, automated alerts and decision systems used daily by our clinical, growth and executive teams. You will design data models, build dashboards and create scalable analytics solutions that directly impact cost, access and patient outcomes.

The Senior Analytics Engineer sits at the intersection of data engineering, analytics, and business strategy. This role is responsible for transforming raw data into scalable, reliable, and well-modeled datasets that drive reporting, analytics, and decision-making across the organization.This role supports initiatives across value-based care, direct primary care (DPC), care navigation, and population health.

You will design, create and manage analytics-ready data models & dashboards that integrate data from EMRs, eligibility files, lab/pharmacy feeds, and (when available) claims—ensuring the organization can measure outcomes, manage cost of care, and improve access and quality. You will partner closely with business stakeholders, data analysts, and engineering teams to design data models, define metrics, create dashboards and ensure data is trustworthy, accessible, and actionable.

SUPERVISORY RESPONSIBILITIES:

This position provides supervision to others: No

ESSENTIAL JOB FUNCTIONS:

Healthcare Data Modeling & Transformation

• Design and maintain data models that support:
• Patient attribution and panel management
• Utilization tracking (primary care, specialty, imaging, Rx)
• Access metrics (time to appointment, same-day utilization)
• Cost of care and savings methodologies (including claims-light environments)
• Normalize and integrate disparate healthcare data sources (EMR, labs, pharmacy, eligibility, care management platforms)
• Define and standardize key healthcare metrics (PMPM, utilization rates, referral patterns, leakage)

Data Pipeline & Integration

• Partner with engineering to ensure timely ingestion of:
• HL7/FHIR data feeds
• Eligibility and enrollment files
• Medical, lab and pharmacy data
• Improve data latency to support near real-time operational decision-making

Analytics Enablement (Operational, Clinical & Client-Focused)

• Deliver curated datasets to support:
• Care team workflows (e.g., high-risk patient identification)
• Network performance analysis (referrals, site-of-care optimization)
• Employer and health plan reporting (ROI and client performance)
• Enable self-service analytics for clinical, operational, and finance teams
• Design, build and deploy dashboards used by clinical, operations and executive teams that tie access, quality, and cost outcomes
• Develop and deliver client-facing reporting/dashboards in a scalable and automated fashion that clearly communicate performance, outcomes and value to external stakeholders

Data Quality, Governance & Compliance

• Implement data validation and monitoring across clinical and operational datasets
• Ensure alignment with healthcare data standards and regulatory requirements (e.g., HIPAA)
• Maintain clear data definitions and lineage for auditability and trust
• Reconcile and validate data in low-claims or no-claims environments using proxy datasets

Strategic Partnership

• Partner with clinical, operations, and finance leaders to define measurement frameworks
• Support development of innovative models (e.g., DPC, bundled services, direct contracting)
• Help quantify impact of interventions without relying solely on traditional claims data
• Translate ambiguous healthcare problems into structured data solutions

SKILLS & ABILITIES:

Key Competencies

• Ability to work with incomplete or fragmented healthcare data and still produce actionable insights
• Strong understanding of healthcare utilization, cost drivers, and care delivery models
• Comfort operating in ambiguity and building new measurement frameworks
• Strong cross-functional collaboration with clinical and non-technical stakeholders

Success Measures

• Trusted, scalable datasets that accurately reflect patient activity and cost of care
• Ability to measure utilization and outcomes without full reliance on claims
• Improved visibility into access, referral patterns, and network performance
• Faster, more actionable insights for clinical and operational teams
• Measurable impact on cost, quality, and patient experience

EDUCATION & CERTIFICATIONS:

Required

• 5–8+ years in analytics engineering, data engineering, or healthcare analytics
• Bachelor’s degree in qualitative or technical field (e.g., Computer Science, Data Science, Statistics, Mathematics, Engineering) or equivalent hands-on experience in analytics/data engineering

EXPERIENCE:

Required

• Strong SQL and Python for data transformation and automation
• Experience in building production-grade dashboards and automated alerting systems
• Proven ability to work independently and delivery of high quality product on-time
• Hands-on experience with healthcare data:
• EMR/EHR systems
• Eligibility/enrollment data
• Claims (medical and/or pharmacy), even if partial
• Experience with modern data stack (dbt, Snowflake, BigQuery, Redshift)
• Familiarity with BI tools (Power BI)

Preferred:

• Experience with HL7 and/or FHIR data standards
• Understanding of value-based care models and population health analytics
• Experience working in DPC or claims-light environments
• Python for data processing or automation
• Experience with data quality frameworks and testing

PHYSICAL REQUIREMENTS:

(The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the position’s essential functions.)

• Prolonged periods of sitting at a desk and working on a computer.
• Occasional standing, walking, and lifting up to 20 pounds.