Data Analyst IV

cni; United States; Remote; USD 119,000 - 155,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Life Insurance

Disability Insurance

401(K) Immediate Vesting

Professional Development Assistance

Legal Aid Assistance

Family Planning / Fertility Assistance

Personal Time Off

Observance of Federal Holidays

Job summary

Chickasaw Nation Industries, Inc. is seeking a Data Analyst IV to lead advanced analytics across tribal healthcare initiatives. You will drive data development, standardization, and large-scale analytics programs to deliver measurable strategic insights and optimize performance.

The role requires expertise in Python, R, and SQL, strong data quality practices, and the ability to mentor junior analysts while coordinating cross-functional teams. A Masters and 8–10 years of experience are expected.

Qualifications

• Masters degree and 8–10 years relevant experience.
• Proficiency in Python, R, or SQL for reporting and modelling.
• Experience leading cross-functional analytics projects.
• Experience with data standards and analytics for healthcare/tribal initiatives.
• Strong data quality and data governance experience.

Responsibilities

• Leads and coordinates data development and analytics for Tribal healthcare initiatives.
• Summarizes data needs of American Indians and pilots' healthcare data development.
• Inventories data resources, evaluates data needs, and plans/initiates pilot data projects.
• Provides technical input for data infrastructure, analytic capacity, and data sovereignty.
• Conducts environmental scans and develops comprehensive inventories of healthcare data resources.
• Assesses data quality, completeness, and opportunities for linkage across systems.
• Prepares management reports, including monthly progress and cost-to-complete reports.
• Supports the development of quality measures and analytics for Tribal Nations.
• Ensures compliance with federal requirements, including FISMA, Section 508, and records management.
• Develops and implements methods for orderly and efficient project task coordination.
• Drives the strategic development and execution of large-scale analytics initiatives that align with business goals and deliver measurable impacts.
• Develops and deploys advanced predictive and prescriptive models to solve complex business problems and optimize performance.
• Leads cross-functional analytics projects, coordinating efforts between departments to achieve unified goals.
• Establishes and enforces organizational data quality frameworks, continually striving to enhance data integrity and effectiveness.
• Incorporates complex data sources, including unstructured data, into analysis to provide comprehensive insights.
• Guides the organization towards a data-centric culture, advocating for data-driven decision-making at all levels.
• Utilizes advanced scripting and querying tools like Python, R, or SQL, as well as statistical methods, machine learning algorithms, and data modeling techniques to produce sophisticated reports, data files, and interactive dashboards.
• Mentors junior team members and may act as a team lead.

Skills

Python

R

SQL

Data analysis

Data modeling

Machine learning

Data governance

Data quality

Data integration

Team leadership

Mentoring

Education

Master's degree

Job description

The Data Analyst IV supports operations and conducts advanced data analytics projects to provide strategic information for decision-making or solution development. Implements and enhances data standards and deploys automation tools to extract, synthesize, and validate complex data from various sources. Constructs and manages large-scale data sets, monitors and ensures data quality, troubleshoots and resolves database issues to maintain high levels of data integrity.

Chickasaw Nation Industries, Inc. serves as a holding company with multiple subsidiaries engaged in several lines of business (Business Services, Health, Infrastructure and Engineering, Mission Optimization, Technology and Transportation) for the federal government and commercial enterprises. A portion of our profits is used to support Chickasaw citizens. We are proud to support the economic development and long-term viability of the Chickasaw Nation and its people. CNI offers premium benefits eligible on the first day of hire to full time employees; (Medical - Dental - Vision), Company Life Insurance, Short-Term and Long-Term Disability Insurance, 401(K) Immediate Vesting, Professional Development Assistance, Legal Aid Assistance Program, Family Planning / Fertility Assistance, Personal Time Off, and Observance of Federal Holidays.

As a federal contractor, CNI is a drug-free workplace and adheres to the Federal Controlled Substance Act.

ESSENTIAL REQUIREMENTS

• Must be able to obtain and maintain the required customer clearance for access to systems, facilities, equipment and property.
• Must possess appropriate level of certifications for this position as required by the contract.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Leads and coordinates data development and analytics for Tribal healthcare initiatives.
• Summarizes data needs of American Indians and pilots' healthcare data development.
• Inventories data resources, evaluates data needs, and plans/initiates pilot data projects.
• Provides technical input for data infrastructure, analytic capacity, and data sovereignty.
• Conducts environmental scans and develops comprehensive inventories of healthcare data resources.
• Assesses data quality, completeness, and opportunities for linkage across systems.
• Prepares management reports, including monthly progress and cost-to-complete reports.
• Supports the development of quality measures and analytics for Tribal Nations.
• Ensures compliance with federal requirements, including FISMA, Section 508, and records management.
• Develops and implements methods for orderly and efficient project task coordination.
• Drives the strategic development and execution of large-scale analytics initiatives that align with business goals and deliver measurable impacts.
• Develops and deploys advanced predictive and prescriptive models to solve complex business problems and optimize performance.
• Leads cross-functional analytics projects, coordinating efforts between departments to achieve unified goals.
• Establishes and enforces organizational data quality frameworks, continually striving to enhance data integrity and effectiveness.
• Incorporates complex data sources, including unstructured data, into analysis to provide comprehensive insights.
• Guides the organization towards a data-centric culture, advocating for data-driven decision-making at all levels.
• Utilizes advanced scripting and querying tools like Python, R, or SQL, as well as statistical methods, machine learning algorithms, and data modeling techniques to produce sophisticated reports, data files, and interactive dashboards.
• Mentors junior team members and may act as a team lead.

EDUCATION AND EXPERIENCE

Masters degree and a minimum of eight to ten (8-10) years relevant experience, or equivalent combination of education/experience.

PHYSICAL DEMANDS

Work is primarily performed in an office environment. Regularly required to sit. Regularly required use hands to finger, handle, or feel, reach with hands and arms to handle objects and operate tools, computer, and/or controls. Required to speak and hear. Occasionally required to stand, walk and stoop, kneel, crouch, or crawl. Must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus. Exposed to general office noise with computers printers and light traffic.The physical demands 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 essential functions of this job.

EOE including Disability/Vet

The estimated pay range for this role is $118,800 to $155,000, with the final offer contingent on location, skillset, and experience.

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