Top Data & Analytics Jobs in Memphis, TN

Lead and manage architecture and engineering for enterprise data platforms across ingestion, storage, processing, analytics, and consumption. Translate business requirements into technical designs, enforce governance/security, oversee data pipelines, and coach teams to ensure scalable, reliable, and cost-efficient data solutions.

The Business Intelligence Intern will support data validation, conduct analysis, create reports, visualize data, and document processes while collaborating with teams to provide data solutions.

Lead enterprise-wide data and AI governance by creating and enforcing policies, controls, and frameworks for responsible data use, AI model oversight, risk mitigation, regulatory compliance, and stakeholder engagement across the organization.

The Senior Commercial Insurance Analyst conducts complex data analysis to inform business strategy, provides risk management recommendations, and mentors junior team members. They collaborate with various departments, manage cross-functional projects, and maintain key business intelligence artifacts.

Execute and validate data migrations into Salesforce from multiple sources, transform and reconcile records, troubleshoot integrity issues, document steps for auditability, and support post-migration data hygiene and governance in collaboration with Operations, Analytics, and Engineering.

Embed clinical science into analytics and product teams to translate operational datasets into actionable protocol design, enrollment, feasibility, and risk-mitigation recommendations. Lead scientific interpretation of eligibility, enrollment modeling, site performance, and analytic model validation. Engage sponsors with deliverables and presentations and develop scalable methodologies, templates, and playbooks to support study design and product roadmap.

Use SQL, Excel, Dataiku, Python, and ETL tools to analyze retail pharmacy network changes, measure client disruption, produce standard and custom reports, streamline reporting processes, and support client retention and business wins while managing multiple priorities.

Own and deliver recurring and ad-hoc analytics across Marketing, Finance, and People. Build and validate SQL/dbt analyses in Snowflake, maintain dashboards, define KPIs with Data Engineering, review self-serve outputs, and perform investigative analysis to surface trends and drivers of business performance.

Lead and grow a team building scalable forecasting models and simulators for ads supply, demand, and revenue. Own technical quality, cross-functional partnerships, roadmap, and strategy to drive ad marketplace and product decisions.

The Data Engineer at Netflix builds systems for efficient data processing and modeling, collaborating with various teams to empower analytical insights and product features.

The Data Engineer will develop and optimize data pipelines, manage data architecture, support cross-functional teams, and ensure data security and integrity.