Top Data & Analytics Jobs in Memphis, TN

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.

Design, build, and support enterprise BI solutions by aggregating data from multiple sources. Develop reports, dashboards, and ad-hoc queries (Tableau, SQL, SSIS, SSRS). Collaborate with stakeholders and data teams on requirements, data modeling, governance, and predictive analytics. Support data warehousing, documentation, and continuous improvement while ensuring compliance with privacy and background-screening requirements.

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.

Support federal benefits programs by executing eligibility, claims, and financial reports; collaborate across stakeholders, document processes, identify improvements, and assist with reporting and benefits implementation tasks.

Lead population health strategy for Medicaid by improving Member Journey dashboards, translating clinical/state requirements into measurable objectives, designing and evaluating Medicaid programs, partnering with analytics and operations, and advising plan leaders to enable actionable, scalable, and compliant analytics-driven care management.

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.

Actuarial Research Intern will develop predictive models using statistical tools, manipulate data into model-ready formats, coordinate research projects with business partners, and present findings while building communication and project-management skills.

Intern will support data pipeline development, documentation, testing, and process optimization using cloud technologies. Tasks include building and maintaining ingestion/transformation pipelines, automations for performance, participating in code reviews, QA, and presenting findings to stakeholders.

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

The Pricing Actuary leads complex reinsurance transactions, mentors a team, and develops innovative analytics strategies to enhance client solutions.

As a Senior Data Strategist, lead strategic consultations, interpret performance analytics, design measurement frameworks, and model supporter journeys to enhance donor acquisition and retention for non-profit partners.