Top Senior Data & Analytics Jobs in Hampton, VA

As a Senior Analytics Engineer, you will own Solv's analytics stack, focusing on data pipeline efficiency, customer-facing analytics, and AI-powered tools, working with internal teams to improve metrics, dashboards, and data visibility.

The Senior Director will lead CMAA analytics initiatives, manage client relationships, and drive innovation using RWD and AI tools. Responsibilities include building teams, proposal development, and executing high-value projects for Pharma and Medtech clients.

The Business Optimization Analyst will analyze and optimize business processes, develop reporting solutions, and collaborate with stakeholders to improve operational efficiency and project success.

The role involves designing, developing, and maintaining Power BI dashboards, supporting data-driven sales operations, and ensuring data quality and governance while collaborating with various stakeholders.

The Director of Reporting and Data Management oversees data infrastructure for Workforce Management, establishing objectives, managing teams, ensuring data storytelling aligns with strategy, and leading predictive modeling efforts.

As a Sr. Business Analyst, you will facilitate requirements gathering, process design, and solution development, particularly regarding ServiceNow for federal clients.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

As Senior Manager of IT Commercial Data Management, you will lead data initiatives, manage product ownership, and develop data governance strategies in collaboration with stakeholders, ensuring high data quality and analytics capabilities.

The Staff Data Engineer will architect and implement a next-generation data platform, build data pipelines, and ensure data integrity for actionable insights.

In this role, you will lead customer engagements, provide technical solutions, and guide customers on the Databricks platform, focusing on big data architectures and integrations.