Top Senior Analysis Reporting Jobs in Charleston, SC

As a Senior Data Analyst, you'll provide actionable insights by analyzing product and engineering data, partnering with leadership on metrics frameworks and decision support for product delivery.

Lead data engineering initiatives to design and deploy data infrastructure. Optimize data warehouses and automate reporting, ensuring data accuracy and governance.

The Senior Data Analyst will collaborate across teams to provide insights, build analytics databases, create dashboards, and automate reporting solutions. They will analyze data trends and partner with IT and product teams to enhance data models.

The role involves analyzing complex pricing strategies, conducting data-driven analyses, collaborating with cross-functional teams, and translating insights into strategic business recommendations.

The Senior Client Data & Analytics Lead guides clients in developing data capabilities, coaching their teams, and translating needs for product delivery. This role combines data leadership with client interaction and strategic planning.

The Senior Data Engineer will build and maintain ETL pipelines, enhance entity resolution processes, implement risk calculation logic, and collaborate with product and development teams to refine requirements and manage data releases.

The Senior Director will establish and lead the Real-World Data & Analytics group, oversee RWD strategy, engage in complex analytics projects, and build a high-performing team in the oncology domain.

The Senior Business Analyst collaborates with teams to transform data into actionable insights, leads projects, educates users, and recommends improvements across business processes using data analysis.

The Senior Enterprise Performance Analyst will develop dashboards, analyze performance data, support decision-making, mentor junior analysts, and improve organizational performance.

The Director of Data & Analytics Engineering will lead and build data platform teams, manage architecture and strategy for data systems, and integrate AI in workflows, ensuring reliable, agile data solutions meet business needs.