Little Rock, AR

Data Jobs in Little Rock, AR

5 jobs found

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Today

Senior Data Analyst

Optum Little Rock, AR

Little Rock, AR

Today

$92k - $164k/yr Full time Senior Analyst Analytics

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Job Description

Senior Data Analyst role for Optum's Arkansas AME DSS Project in Little Rock, AR (hybrid), offering USD 91,700 - 163,700 per year and focused on data quality, reporting, dashboards, data analysis, and stakeholder communication.

Responsibilities

Provide analytic and project management support to data analysis initiatives
Provide qualitative policy and program analyses
Help create test processes, procedures, and code needed to measure data accuracy
Strategize and identify ways of improving the overall quality of the data
Identify and document issues, patterns, and gaps in the data and/or system(s)
Provide accurate and appropriate interpretation of data, applying knowledge to evaluation, analysis, and interpretation of data
Review, enhance, and update documentation workflows
Build, update, and maintain dashboards that report on key business and data quality metrics
Balance multiple projects and priorities
Present reports and explain analytical results to stakeholders in clear, non-technical language

Requirements

5+ years of experience in a quantitative oriented field such as business, economics, statistics, biostatistics, science, or healthcare administration
4+ years of data analysis experience
3+ years of experience analyzing data and identifying anomalies using strong analytic and organizational skills, with the ability to influence change
Experience with Power BI or Cognos
Experience communicating data analysis results, including trends and opportunities, both verbally and in writing, to clients and colleagues
Proficient in SQL, capable of handling abstract data and clearly summarizing and presenting data
Residence within commuting distance of Little Rock, AR; hybrid role not available 100% remote
Willing and able to work in the Little Rock, AR office at minimum three days per week: Tuesday, Wednesday, Thursday

Technologies

Power BI
Cognos
SQL
JIRA
Clinical grouper software

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

Preferred Qualifications

Experience in Medicaid or the healthcare industry with analytic, quantitative, or operations experience
Experience using clinical grouper software
Healthcare payer data analysis experience with Medicaid data, Healthcare Exchange data, or Commercial payer data
JIRA experience
Knowledge of state and federal CMS reporting requirements
Demonstrated working knowledge of data quality and master data management concepts
Demonstrated working knowledge of change, incident, and project management procedures and best practices

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21d ago

Fire Data Analyst

City of Little Rock Little Rock, AR

Little Rock, AR

21d ago

$42k - $65k/yr Full time Analyst Analytics Data Analysis

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Job Description

In the City of Little Rock, the Fire Data Analyst helps shape how the fire department operates by turning organizational observations and data into actionable guidance. This onsite role supports the Little Rock Fire Department with rigorous data monitoring and thoughtful analyses, delivering findings that inform guidelines and procedures to sustain CFAI accreditation.

Location: Little Rock, AR (onsite) • Salary: USD 42,149 - 64,909 per year

Summary

The position conducts organizational evaluations and studies, continuously monitors and analyzes data to support the Little Rock Fire Department's operations, and prepares analyses and reports. The aim is to recommend policies and procedures that ensure compliance with CFAI standards and maintain CFAI accreditation.

Responsibilities

Carry out organizational assessments and research initiatives
Track, collect, and analyze data in support of the Little Rock Fire Department's operations and services
Compile and present analyses of findings and any special reports
Propose and assist with the development and implementation of guidelines, policies, and procedures
Verify that departmental activities, operations, and service levels align with CFAI standards, guidelines, and regulations to sustain CFAI accreditation

Job Objective

The objective is to conduct organizational evaluations and studies, monitor, collect, and analyze comprehensive data in support of the Little Rock Fire Department's operations and services, and prepare analyses and special reports to inform the development and implementation of guidelines and policies. The role supports ongoing efforts to ensure departmental activities and service levels comply with CFAI accreditation requirements.

Example of Duties

For a complete list of essential job functions please click HERE.

Supplemental Information

Online applications only
Applicant’s answers to supplemental questions will be used to screen for minimum qualifications electronically; failure to fully answer all supplemental questions may result in failure of the application
Please include a complete work history when completing the application. Work history may impact the initial salary offer amount for the successful candidate
List of qualified applicants will be considered active for up to six (6) months and may be used to fill future openings with the same or similar minimum qualifications
All communication regarding application status will be sent to candidates via text message or the email address listed on the account
You may check your NeoGov inbox to review all notices sent to the email address associated with your applications
Applicants may check application status for any position by logging into their account or contacting Human Resources at (501) 371-4590 if they are having computer difficulties

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1mo ago

Senior Data Analyst - Deposits

Bank OZK Little Rock, AR

Little Rock, AR

1mo ago Closed

Full time Analyst Analytical Skills Analytics

This position is no longer accepting applications (closed Jul 2, 2026).

Job Description

This is an on site role in Little Rock, Arkansas. The Senior Data Analyst - Deposits serves as the primary deposits data expert at Bank OZK, guiding pricing, campaign analytics, and product insights while partnering with technology teams to elevate the Deposit Management data capabilities.

Responsibilities

Examines product, customer, pricing, financial, sales, and deposit data to identify trends and derive actionable insights.
Collaborates with technology partners to build and enhance the Deposit Management team's data capabilities.
Interprets analyses and recommends measures to improve performance and profitability.
Leads ongoing and ad hoc analytical initiatives for the Deposit Management team.
Conducts research across the Bank's broad range of products and services.
Assesses pricing experiments to gauge customer response to various initiatives and strategies.
Develops ongoing reports to monitor the performance of deposit portfolios.
Collaborates with multiple teams to coordinate report distribution and share insights with stakeholders, including executive decision-makers.
Presents findings and analyses to working groups, councils, committees, and executive management as required.
Regularly exercises professional judgment and discretion in performing core duties.
Maintains reliable attendance and punctuality.
Adheres to Bank policies, procedures, and guidelines.

Requirements

A bachelor’s degree in finance, marketing, economics, business, computer science, statistics, or a related field, or equivalent work experience, is required.
At least five years of analytics experience using SQL and common scripting languages such as R or Python, in professional or academic settings.

Technologies

Power BI
Snowflake
SQL
R
Python
Microsoft Word
Microsoft Excel
Microsoft PowerPoint

Benefits

Generous PTO
401(k) matching
Health insurance
Dental insurance
Vision insurance
Pet insurance
Special perks and discounts

Job Purpose & Scope

Provides leadership as the principal deposits data expert across the organization, delivering guidance on deposit pricing, campaign and marketing initiatives, customer and product analytics, and sales reporting requirements.

Job Expectations

Operates standard business equipment and technology used in a professional environment, with accommodation as needed.

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1mo ago

Sr. Data Engineer

Optum Little Rock, AR

Little Rock, AR

1mo ago Closed

$92k - $164k/yr Full time Senior Azure Azure Data Factory

This position is no longer accepting applications (closed Jul 2, 2026).

Job Description

Role context: The Senior Data Engineer within Optum Data Management designs, builds, and operates scalable, metadata driven data pipelines that support the Arkansas Medicaid Decision Support System, leveraging Azure Data Factory and Snowflake to ensure reliable ingestion, integration, and delivery of State Medicaid and CMS data with a focus on data quality and state partner collaboration.

Summary

A Senior Data Engineer will design, develop, and operate end-to-end data pipelines across staging, integration, and consumption layers, using metadata driven frameworks, Azure Data Factory, and Snowflake. The role emphasizes high quality data delivery, robust data transformations, and collaboration with state partners to meet Medicaid and CMS data needs.

Responsibilities

Work with product owners, business users, and stakeholders to translate data product and reporting needs into scalable, dependable data engineering solutions, incorporating feedback iteratively throughout the delivery lifecycle.
Design, develop, and maintain end-to-end data pipelines across staging, integration, and consumption layers, leveraging Azure Data Factory, Snowflake SQL, and metadata driven architectures.
Develop and optimize high performance SQL queries, views, and stored procedures to support analytics, reporting, and outbound data extracts, while guiding analytics team members on efficient and cost effective usage.
Architect, develop, and support inbound and outbound data integration processes including batch file ingestion, automated extracts, and scheduled deliveries to internal consumers, state partners, and external agencies.
Develop and maintain GoAnywhere workflows and monitoring for inbound and outbound file transfers.
Collaborate with internal stakeholders to understand business objectives, regulatory needs, and study requirements, identifying suitable technical solutions, integration patterns, and data models that balance performance, scalability, and maintainability.
Serve as a technical subject matter expert and mentor, delivering training, design guidance, and code reviews on data engineering best practices, Snowflake optimization, and Azure Data Factory pipeline design.
Author and maintain detailed technical documentation, including data mappings, record layouts, file specifications, interface contracts, workflow diagrams, and runbooks for data loads and extracts.
Continuously assess and enhance data quality, reconciliation controls, monitoring, and operational efficiency across analytic and decision support system data processes.
Establish and maintain partnerships with customers, data senders, and data consumers, serving as a subject matter expert for healthcare data domains.
Collaborate with business and technical partners to support data acquisition initiatives, including onboarding new data sources, building business justifications, and executing secure, compliant data transfers.
Communicate complex technical concepts clearly through written documentation, presentations, and discussions with audiences from technical teams to senior leadership.
Foster a collaborative, inclusive environment that promotes knowledge sharing, continuous improvement, and professional development across the team.
Demonstrate adherence to regulatory, security, and data governance obligations, including HIPAA, state and federal Medicaid requirements, and controls related to external data sharing and file exchange.
Show the ability to work independently, manage multiple priorities, and adapt to evolving business and technology requirements.
Apply strong analytical and troubleshooting skills to diagnose pipeline failures, data anomalies, and performance bottlenecks.

Requirements

Minimum 2 years of relevant data engineering experience.
5+ years of hands-on data engineering experience with a focus on enterprise data warehousing and ETL architectures.
5+ years of ETL development experience designing and building pipelines and dataflows using Azure Data Factory and/or Snowflake, including parameterized and metadata driven designs.
3+ years of experience using Snowflake database, including creating data ingestion and extraction through stored procedures and leveraging Snowflake native utilities.
3+ years of experience with GitHub version control, including code merges and cross environment deployments using CI/CD pipelines.
2+ years of scripting experience (Batch, PowerShell, or similar) to support automation and operational tasks on the Azure platform.
Experience processing structured and semi-structured data, including fixed width and delimited files, JSON, and XML.
Working knowledge of healthcare standards such as NCPDP vF6, HL7, and FHIR, including ingestion and transformation of these formats.
Residence in the Little Rock, AR area and willingness to work hybrid in the office at least three days per week.

Technologies

Azure Data Factory
Snowflake SQL
Snowflake
GoAnywhere MFT
GitHub
CI/CD pipelines
Batch
PowerShell
Python
Microsoft Purview
Macula Automate
Informatica Intelligent Cloud Services (IICS)
REST
RPC
NCPDP vF6
HL7
FHIR

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

Location

Little Rock, AR, hybrid

Salary

USD 91,700 - 163,700 per year

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1mo ago

Data Analyst

AHS Little Rock, AR

Little Rock, AR

1mo ago Closed

Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jun 23, 2026).

Job Description

On-site Data Analyst position located in Little Rock, AR, supporting data-driven decision making within a third-party administrator environment. The role emphasizes provider data management and broader payer analytics across Medicare, Medicaid, and self-funded plans.

Responsibilities

Examine provider data, including demographics, specialties, contracts, credentialing status, network participation, and performance metrics across multiple plans.
Contribute to provider network management efforts such as network adequacy analysis, access assessments, and provider performance benchmarking for Medicare, Medicaid, and self-funded clients.
Identify trends and anomalies in provider utilization, reimbursement, quality, and cost across plan types and employer groups.
Analyze medical and pharmacy claims data across Medicare, Medicaid, and self-funded commercial plans to uncover cost drivers, utilization patterns, and opportunities for improvement.
Support client reporting and internal stakeholders with analytics at plan, employer, and provider levels.
Develop reports and dashboards tailored to diverse client needs and regulatory requirements.
Extract, transform, validate, and reconcile data from multiple sources including claims systems, provider databases, eligibility files, and data warehouses.
Ensure data accuracy, integrity, and consistency across plans, clients, and reporting deliverables.
Create recurring and ad-hoc reports using SQL, BI tools, and spreadsheets.
Translate complex data into actionable insights for internal teams and external clients.
Support regulatory, audit, and accreditation reporting as applicable (e.g., CMS, state Medicaid agencies).
Assist with responses to client data requests, performance guarantees, and operational inquiries.
Collaborate with Provider Relations, Network Management, Client Services, Finance, Actuarial, Compliance, and IT teams.
Help define data requirements for new clients, plans, and employer groups.
Contribute to data governance, documentation, and continuous process improvement initiatives.

Requirements

Bachelor's degree in Data Analytics, Statistics, Mathematics, Health Informatics, Business, or a related field.
At least 2 years of experience as a data analyst, preferably within a TPA, health plan, managed care, or healthcare services organization.
Strong SQL skills and experience handling large, complex relational datasets.
Experience analyzing healthcare data such as claims, provider data, eligibility, or financial data.
Proficiency in Excel and at least one BI or visualization tool (Power BI, Tableau, Looker).
Experience in a TPA environment supporting multiple plan types (Medicare, Medicaid, self-funded commercial).
Solid understanding of provider data including contracts, credentialing, network participation, and reimbursement models.
Familiarity with healthcare coding and standards (CPT, HCPCS, ICD-10, DRG, NPI).
Ability to manage multiple priorities in a fast-paced environment.
Proficiency with Microsoft Office Suite, Teams, and Power BI reporting.

Technologies

SQL
Power BI
Tableau
Looker
Excel
Microsoft Teams
Microsoft Office Suite

Benefits

AD and D insurance
Dental insurance
Disability insurance
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Prescription drug coverage
Retirement plan
Vision insurance

Additional notes

Position operates in a fast paced, multi client environment with periodic deadlines, onsite in the office.

Job Type

Full-time

Work Location

In person

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Data Jobs in Little Rock, AR

Senior Data Analyst

Fire Data Analyst

Senior Data Analyst - Deposits

Sr. Data Engineer

Data Analyst

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