Data Analyst V

Chickasaw Nation Industries, Inc.•Washington, DC

3d•$134,890 - $215,000

About The Position

The Data Analyst V helps lead operations and strategic data analytics projects, providing critical information and insights to senior management for decision-making and solution development. The role establishes and enforces enterprise-wide data standards and uses advanced automation tools to extract, synthesize, and validate complex data from multiple sources. It designs and manages large-scale databases, monitors data quality, and troubleshoots complex database issues to maintain data integrity. The position architects the company-wide data analytics vision in alignment with strategic business objectives, leads innovation and transformation of the analytics function, and partners with executive leadership on strategic initiatives informed by data. It oversees an integrated enterprise-wide analytics framework and provides thought leadership in analytics. The role also cultivates a high-performing analytics team and applies advanced scripting, querying, statistical, machine-learning, and data-modeling techniques to produce reports, data files, and interactive dashboards. The Data Analyst V assesses data and interoperability considerations affecting the implementation and scaling of AI in healthcare, including data types, workflow integration, and technical barriers. It advises on data governance, quality, and best practices for using healthcare data in AI solutions. Work is primarily performed in an office environment. The role requires a bachelor's degree and at least 12 years of relevant experience, or an equivalent combination of education and experience. The employee must be able to obtain and maintain the required customer clearance and possess contract-required certifications.

Requirements

Bachelor's degree and a minimum of 12 years of relevant experience, or equivalent combination of education and experience.
Must be able to obtain and maintain the required customer clearance for access to systems, facilities, equipment, and property.
Must possess the appropriate level of certifications required by the contract.

Responsibilities

Architect and direct the company-wide data analytics vision in alignment with strategic business objectives.
Identify and assess data and interoperability considerations affecting AI implementation and scaling in healthcare.
Analyze data types, workflow integration, and technical barriers, including data silos and lack of standardization, to support adoption of clinical AI tools.
Advise on data governance, quality, and best practices for leveraging healthcare data in AI solutions.
Lead innovation and transformation of the analytics function, integrating big data technologies and advanced analytical methodologies.
Partner with executive leadership to define and steer strategic initiatives based on data-driven insights.
Oversee an integrated, enterprise-wide analytics framework to streamline data access and utilization.
Provide thought leadership, influence industry best practices, and lead sophisticated analytical discussions.
Cultivate and lead a high-performing analytics team, including talent development, retention, and succession planning.
Use scripting and querying tools such as Python, R, or SQL, along with statistical methods, machine-learning algorithms, and advanced data modeling to produce reports, data files, and interactive dashboards with complex visualizations.
Implement emerging data analytics technologies and drive organizational innovation.
Establish and enforce enterprise-wide data standards and use automation tools to extract, synthesize, and validate complex data from multiple sources.
Design and manage large-scale databases, monitor data quality, and troubleshoot complex database issues to maintain data integrity.