Senior Health Data & EHR Analytics Leader

Chickasaw Nation Industries, Inc.; Mission, Northern (KS, KY); Hybrid; USD 135,000 - 210,000; Full time

Benefits offered by this job

Medical

Vision

401(k)

Family Planning/Fertility Assistance

STD/LTD/Basic Life/AD&D

Legal-Aid Program

EAP

Job summary

Chickasaw Nation Industries, Inc. seeks a Data Analyst V to lead data analytics initiatives for senior management. You will establish enterprise-wide data standards, deploy automation, design large databases, and drive data quality across sources to support strategic decisions.

The role emphasizes AI/ML applications in data infrastructure, collaboration with executive leadership, and building an integrated analytics framework to empower business outcomes.

Qualifications

• Master's degree and a minimum of eight to ten years of relevant experience in data analytics and data management.
• Experience leading data analytics projects for senior management and stakeholders.
• Strong knowledge of data governance, data quality, and data standards.

Responsibilities

• Lead enterprise-wide data analytics initiatives and drive strategic insights for senior leadership.
• Establish and enforce enterprise data standards across multiple sources and systems.
• Design, implement, and manage large-scale databases with a focus on data quality and integrity.
• Advise on integration of data with Health IT systems and modernization programs.
• Develop plans for Tribe-specific administrative data, including data linkages and quality measures.
• Enable AI/ML capabilities within data infrastructure and analytics.
• Collaborate with executives to define major strategic data-driven initiatives.

Skills

Python

R

SQL

Data analytics

Education

Master's degree

Tools

Automation tools

Job description

Chickasaw Nation Industries, Inc. seeks a Data Analyst V to lead data analytics initiatives for senior management. You will establish enterprise-wide data standards, deploy automation, design large databases, and drive data quality across sources to support strategic decisions.

The role emphasizes AI/ML applications in data infrastructure, collaboration with executive leadership, and building an integrated analytics framework to empower business outcomes.