Top Remote Data & Analytics Jobs in Little Rock, AR

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

The Fraud & Risk Analyst will conduct investigations of suspicious activities, collaborate with various teams, and enhance fraud detection processes to protect clients and the company.

The Manager, Growth Analytics & Marketing Science will build and evolve marketing measurement frameworks, drive analytics, and optimize marketing strategies through data and AI.

Own end-to-end data pipelines for multiple clients: extract, clean, transform, model and visualize data. Build dashboards and automated workflows, apply AI where useful, and present actionable insights to non-technical stakeholders.

The Business Analyst will gather requirements from clients, support project lifecycles, conduct demos, and manage change, while utilizing ServiceNow. Responsibilities include documentation and relationship building.

Lead and support statistical programming deliverables for clinical studies: implement protocol programming, ensure high-quality outputs and documentation, write/implement specifications, enforce standards and compliance, contribute best practices, manage tasks, communicate risks, and collaborate with statisticians, data managers, and study leads.

Lead statistical programming strategy and teams for clinical studies, oversee development/validation of SDTM/ADaM datasets and TLFs, ensure regulatory submission readiness (eCTD), drive SAS/R workflows, automation, and cross-functional collaboration with biostatistics, data management, and regulatory teams.

Lead statistical strategy and deliverables for Immunology clinical trials. Author and review SAPs, ADS, and clinical study report sections; review analysis outputs; collaborate with Clinical, Programming, Data Management, and Regulatory teams; mentor programmers; ensure FDA/ICH/GCP compliance.

The Senior Customer and Industry Insights Analyst will analyze data trends, generate insights, publish reports, and collaborate with various departments to inform decision-making and strategy.

Design, build, and maintain forecasting and portfolio optimization models for U.S. power markets; analyze market outcomes, track supply/demand/congestion dynamics, and apply statistical, optimization, and ML methods to inform commercial decisions.

Lead end-to-end data acquisition, ingestion, curation, and storage for foundation models (3D, video, image, audio). Ensure legal compliance, negotiate vendor contracts, develop tooling and standards for searchable, indexed datasets, and align data strategy with research and product roadmaps while managing cross-functional teams and vendor relationships.

The Senior Quantitative Analyst is responsible for building data pipelines, conducting Monte Carlo simulations, and converting complex Excel models to code while communicating effectively with stakeholders.