Top Remote Data & Analytics Jobs in Memphis, TN

Build and maintain Salesforce reports/dashboards, analyze marketing and funnel performance, partner with Marketing/RevOps, experiment with AI-driven data/enrichment workflows, ensure data quality across systems, and present insights to leadership.

Lead the data organization to define data strategy, build scalable cloud-native pipelines, enable self-service analytics, drive AI/ML initiatives, and manage a multidisciplinary team to inform product, clinical, and business decisions.

The Solution Architect will design scalable technology solutions for Marriott's enterprise applications, supporting modernization efforts and ensuring alignment with architectural standards. This role involves collaborating with various teams to deliver cloud-native capabilities for revenue management systems.

Analyze and forecast financial data for strategic decisions, lead a team, ensure data integrity, and advise executives. Requires extensive actuarial experience and modeling proficiency.

The Insights Principal leads market research projects, turns data into insights, collaborates with teams, and ensures ethical research practices.

The Stop Loss Claims Analyst reviews, analyzes, and adjudicates stop loss claims, ensuring proper adherence to policy terms and guiding clients through complex claims.

As a Data Engineer at LiveKit, you will manage the analytics infrastructure, develop scalable GCP-based data pipelines, and ensure effective data movement and transformation processes, while collaborating with the Analytics and engineering teams.

Lead statistical programming for clinical trials, oversee programming deliverables, ensure compliance with CDISC standards, supervise staff, and develop programming solutions.

As a Sr Credit Risk Analyst, you'll analyze complex datasets to provide insights on credit risk, ensure regulatory compliance, and lead reporting initiatives while mentoring junior team members.

The Sr Data Enablement Specialist will enhance data governance, support BI tools, implement AI workflows, and provide training resources to improve data utilization across teams.

Partner with customers and sales to design and present scalable Databricks Lakehouse architectures, build reference architectures and demos, consult on big data, ETL, and ML projects, validate integrations, and drive technical wins and adoption across accounts.