Top Data & Analytics Jobs in Little Rock, AR

Perform GIS data processing and automation using arcpy and Python, develop SSIS/SQL Server workflows, communicate status to managers and users, track time, follow quality standards, collaborate in a team, estimate and schedule work, and resolve issues promptly.

Contract SQL developer role supporting client projects: develop and optimize SQL queries, support database design and ETL/reporting, collaborate with team, and participate in on-the-job training programs.

Six-month internship to collect, clean, and analyze technical service, lab, and customer case data; build structured datasets; create visualizations and Power BI dashboards; support AI-assisted data processing and automation; present findings and collaborate with engineers and scientists to inform product and reliability decisions.

Lead Data Strategy & Insights as a strategic, hands-on leader driving analytics for retailers and CPGs. Own end-to-end delivery, extract and analyze disparate data, build statistical models, modernize the analytics stack, manage third-party data relationships, run POCs and pilots, partner with sales and engineering, and mentor a team of managers and analysts to deliver commercial impact.

Mid-level analytics professional delivering clinical, financial, and operational insights. Independently leads analytics projects, builds and maintains dashboards/reports, performs complex troubleshooting, testing, and data validation, ensures governance and documentation, mentors junior analysts, and collaborates with clinicians and operational leaders to translate data into actionable visualizations supporting patient care and organizational goals.

Develop, maintain, and troubleshoot ETL solutions and system interfaces to move and transform data across health system applications and a data warehouse. Design integration architecture, code and test interfaces, document solutions, and propose improvements. Support existing data transfers and stay current with ETL and API technologies.

Develops and maintains spreadsheets, dashboards, and reporting tools; coordinates recurring reporting workflows and survey data management; ensures data integrity through validation and cleanup; supports large-scale data initiatives, grant reporting, and partner training; analyzes trends to inform strategy and program improvements while collaborating with internal teams and external partners.

Lead ownership of the Databricks-based enterprise data platform: design governance with Unity Catalog, manage compute and access controls, drive FinOps, integrate identity (SSO/SCIM), liaise with Databricks, define roadmap, and enable engineering and data science teams for scalable, secure production workloads.

The Business Analyst identifies opportunities for improvement in internal processes, creates business documentation, analyzes software impacts, and conducts training for end users, requiring extensive travel to courts.

The Data Engineer will develop and maintain data pipelines, perform data extraction and transformation, and support data analytics across the enterprise.