Top Data & Analytics Jobs in Charleston, SC

The Supply Chain Management Analyst coordinates supply chain activities, verifies engineering BOM, resolves order issues, analyzes inventory, ensures compliance, and implements process improvements, requiring effective problem-solving skills.

The Senior Business Analyst will optimize Lead-to-Order and Contract Lifecycle Management processes using Salesforce, lead projects and drive process improvements.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

Lead the development of audit practices, enhance methodologies, integrate data analytics, ensure compliance, mentor teams, and communicate effectively with leadership.

Lead architect for Compliance data at Coinbase, defining data governance frameworks, designing data contracts, mapping data lineage, and quantifying data impact to enhance compliance reporting and data quality processes.

Support GitLab's go-to-market planning, target setting, compensation design, analytics, and capacity planning for revenue growth.

As a Data Engineer, you will design and maintain data pipelines, build data storage systems, and support analytics workflows, ensuring data reliability and performance. You will collaborate with engineers to define data structures and improve data management practices.

The Senior Healthcare Analyst will analyze healthcare data, provide insights to improve clinical programs, and collaborate with multidisciplinary teams to drive program effectiveness and optimize patient outcomes.

The Solutions Associate will support Zeta's Data Cloud team by managing client inquiries, enhancing operational processes, and driving product insights to improve client satisfaction and growth.

The People Analytics Partner consults with business leaders, uses analytics to improve workforce strategies, and ensures data quality in people metrics.

The Sr. Data Analyst will deliver actionable insights to stakeholders, develop predictive models, and support data-driven growth by analyzing diverse datasets.