Top Remote Analysis Reporting Jobs in Little Rock, AR

The Growth Analyst supports capture efforts by producing decision-support artifacts from source documents, using Excel and AI tools for effective organization and analysis of information.

The Data Processing Specialist processes and reviews laboratory orders, ensuring accuracy and compliance while working independently and collaboratively in a remote setting.

Lead design and optimization of analytics products and Tableau dashboards, manage and tune reporting data pipelines (Redshift/ETL), implement performance best practices, collaborate cross-functionally, and drive automation and AI opportunities to improve reporting and analytics for healthcare customers.

Lead design, build, and support of cloud-based ETL, data warehousing, and reporting solutions. Develop/optimize ETL pipelines, data models, and queries; deploy containerized services on Kubernetes; automate workflows; mentor teammates; collaborate with architects, data scientists, and stakeholders to deliver scalable analytics and reporting products.

Design, build, and maintain production data pipelines and the unified data model using Snowflake, dbt, and orchestration tools. Optimize, test, document, and monitor ELT workflows, enforce engineering best practices, mentor teammates, and deliver trustworthy data products for analytics and business decisions.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

Lead the transformation of insurance operations into scalable solutions on the Majesco platform, ensuring alignment with product architecture. Guide clients through the implementation of insurance strategies across policy administration, billing, claims, and digital experiences.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, focusing on architecture, ingestion, storage, and analytics on GCP. You'll collaborate with stakeholders and optimize data structures for performance while ensuring adherence to data governance and compliance standards.

The Principal Decision Scientist will lead data-driven insights for strategic decisions, driving business impact through advanced analytics, AI, and mentoring within a data science team.

The Manager will lead client projects in Data and Analytics, focusing on strategy formulation, process automation, and data visualization, collaborating with various stakeholders.

Manage client projects focused on data transformation and analytics, developing solutions using various tools, while maintaining strong communication with stakeholders.

Lead end-to-end credit risk analytics to inform underwriting, pricing, and product strategy. Build forecasting, unit-economics, and loss‑forecast models; design and analyze live tests; develop and implement credit policy; partner with cross-functional teams and external partners; apply AI-assisted analytics; and automate credit decisioning to balance growth with portfolio health.