Remote Health Data Leader: EHR and Analytics

Chickasaw Nation Industries, Inc.; United States; Remote; USD 135,000 - 210,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k)

Family Planning

Legal Aid

EAP

PTO

Training & Development

Job summary

Chickasaw Nation Industries, Inc. seeks a Data Analyst V to lead enterprise-scale analytics initiatives, drive data-driven decision making, and enforce data standards across the organization.

The role focuses on extracting and validating data from multiple sources, building scalable databases, and delivering actionable insights to senior management. The position drives modernization efforts, leverages advanced analytics including AI, and mentors a high-performing analytics team.

Qualifications

• Master's degree in a relevant field or equivalent combination of education and experience.
• Proven expertise in health data development and EHR systems.
• Strong scripting and statistical analysis capabilities.

Responsibilities

• Provides subject matter expertise in health data development and EHR systems.
• Supports electronic health record modernization and interoperability for Tribal Nations.
• Advises on integration with existing EHR systems and Health IT Modernization Programs.
• Develops actionable plans for Tribe-specific administrative data, including agreements, linkage, quality measures, and IT infrastructure.
• Offers analytic resources for Tribal Nations' health system performance measurement.
• Evaluates readiness for inclusion in Tribal-HCUP and identifies data infrastructure gaps.
• Recommends improvements in data quality, interoperability, and access.
• Leads the use of AI in data infrastructure and analytics.
• Architects and directs enterprise-wide data analytics vision aligning with business objectives.

Skills

Python

R

SQL

Data modeling

Machine learning

Statistics

Data visualization

Education

Master's degree

Job description

Chickasaw Nation Industries, Inc. seeks a Data Analyst V to lead enterprise-scale analytics initiatives, drive data-driven decision making, and enforce data standards across the organization.

The role focuses on extracting and validating data from multiple sources, building scalable databases, and delivering actionable insights to senior management. The position drives modernization efforts, leverages advanced analytics including AI, and mentors a high-performing analytics team.