Top Remote Data & Analytics Jobs in Fayetteville, AR

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Lead strategic vision and execution of GitLab's data platform and analytics capabilities, focusing on AI-enabled self-service analytics and data governance.

Design, build, and maintain enterprise risk analytics and automated reporting (SAS/Python/Tableau). Translate senior stakeholder needs into scalable dashboards, committee reports, and repeatable pipelines, enabling proactive risk insights and automation.

Lead martech data strategy and governance to enable accurate, accessible customer data for segmentation, identity resolution, integrations, and personalized campaign activation across marketing platforms. Partner with Technology, Data & Analytics, Compliance, and business stakeholders to define requirements, drive data quality, and modernize platform integrations.

Support client market research projects end-to-end: design questionnaires and samples, run analyses and charts, coordinate fielding, produce final reports, assist client communications, mentor operations team members, and use AI-enabled tools to improve workflow and deliverables.

Lead design, development, and migration of enterprise SAP BW solutions to SAP Datasphere; architect hybrid data flows with Microsoft Fabric and Azure Synapse; integrate BW with Salesforce and SQL Server; embed AI (Copilot, Azure OpenAI) into analytics; manage deliverables, mentor offshore teams, enforce standards, and ensure data integrity and performance for reporting and analytics.

Lead design, development, and migration of enterprise data warehouse solutions from SAP BW/BW4HANA to SAP Datasphere. Architect data models and hybrid data flows with Microsoft Fabric/Azure Synapse, integrate BW with Salesforce and SQL Server, embed AI capabilities (Copilot, Azure OpenAI), manage offshore teams, enforce standards, and deliver Power BI reporting and analytics to business stakeholders.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Analyze large sales datasets to forecast trends, identify opportunities, monitor competitive and market activity, develop metrics and recommendations, visualize results, and present findings to business leaders to improve sales performance and processes.

Design and implement end-to-end cloud data solutions, lead or mentor engineering teams, ensure performance, security, and scalability, integrate diverse data sources, write and optimize SQL, program in Java/Python/Scala, produce presentations and detailed solution documentation, and engage directly with clients to deliver production-ready systems.