Top Analysis Reporting Jobs in Hampton, VA

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.

This role involves collaborating with stakeholders to translate business questions into data insights, developing SQL queries, and supporting AI-driven analytics workflows.

The Senior Data Engineer will develop and maintain scalable data pipelines, ensure quality standards, improve engineering practices, and engage with data teams to optimize operations.

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

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

The Senior Data Engineer designs data architectures, optimizes data pipelines, gathers requirements, ensures data integrity, and provides analytics solutions for stakeholders.

The Senior Data Analyst will support the Go-To-Market team by improving performance measurement, identifying growth opportunities, and developing data products while leveraging analytics engineering tools.

The IT Business Analyst will support WMS implementations, gather business requirements, conduct training, and optimize warehouse processes for 3PL operations.

As the Quality Management System lead, you will oversee quality management frameworks and processes to ensure compliance for Flow Cytometry software in biopharma environments, focusing on transforming OMIQ into a fully validation-ready solution.

The Senior Director Analyst will provide insights to clients, analyze market trends, develop CRM strategies, and mentor junior team members while engaging executives and delivering high-quality presentations.

The Data Migration Specialist manages customer data migrations, including planning, executing, and validating data processes across various formats, collaborating with cross-functional teams to support implementations.