Top Data & Analytics Jobs in Charlotte, NC

The role involves implementing financial models, optimizing software applications using C++ and Python, and enhancing analytics library performance in collaboration with various teams.

Manage client engagements focusing on pricing strategies and market access optimization for pharmaceutical assets, while mentoring teams and ensuring quality deliverables.

The Senior Director will lead data quality and insights strategy, oversee analytics development, and manage a multidisciplinary team to enhance decision-making through data-driven insights.

The Finance Systems Architect is responsible for designing and optimizing finance technology solutions, ensuring alignment with business needs, and leading initiatives for system integrations and process automation.

The TMS Compliance Analyst conducts transaction monitoring investigations, drafts Suspicious Activity Reports (SAR), and supports BSA/AML compliance. Requires strong analytical skills and attention to detail.

The Manager of Ontology and Data Modeling leads the development of enterprise ontologies, collaborates across teams, and manages semantic integration within Capital One's products, while advocating for knowledge organization strategies and maintaining industry standards.

Operate and automate LendingTree's cloud data platform (Snowflake) by building CI/CD, troubleshooting ETL/streaming (Kafka), integrating with AWS/Azure services, enforcing security and observability, and partnering with data engineering to improve reliability and cost-efficiency.

Lead and grow an analytics team to deliver end-to-end information management, reporting, and insights that improve member service. Partner with business leaders to set analytic strategy, prioritize work, ensure governance, and translate complex data into executive-level recommendations that drive operational change.

As a Senior Data Analyst, you'll analyze operational metrics, develop dashboards, provide insights, lead requirements-gathering sessions, and create presentations for senior leadership.

Lead and develop a data engineering team to design, build, and maintain scalable, cloud-based data pipelines and assets supporting ML/AI and BI. Drive roadmap execution, cross-functional collaboration, GitHub best practices, automation, and data quality for enterprise analytics solutions.

Lead analysis and delivery of reference/master data solutions: translate business needs into functional requirements, collaborate with engineering and product, manage SDLC activities (design, UAT, deployments), perform data mapping/mining, maintain documentation, and coordinate stakeholders to ensure data quality and successful releases.