Top Remote Analysis Reporting Jobs in Richmond, VA

The Data Architect will design and implement a data strategy on Google Cloud, facilitate architecture discussions, and manage database migrations while providing architectural recommendations to customers.

This role involves supporting the Oracle Global Trade Management system, troubleshooting issues, collaborating with teams, and enhancing operational efficiency.

Lead the architecture of the Workday Adaptive Planning platform, designing models, integrating systems, and ensuring platform governance while collaborating with stakeholders and optimizing performance.

As a Senior Analyst, you will develop data-driven solutions in collaboration with operations teams and deliver insights through reports and dashboards to improve patient outcomes.

Design and implement ETL processes, collaborate with stakeholders, develop data pipelines, and ensure compliance with federal guidelines in a remote setting.

The Database Administrator will optimize and maintain PostgreSQL and MS SQL environments, manage legacy databases, and enhance data retrieval efficiency while collaborating with teams to troubleshoot database issues.

The Business Intelligence Data Analyst II supports reporting, dashboards, and data-driven insights, working closely with Business Intelligence and Data Engineering teams. Responsibilities include optimizing data structures, leading data modeling, collaborating on requirements, and monitoring data feeds.

The Power Platform Analyst will design, develop, and automate business applications using Microsoft Power Platform technologies, focusing on financial reporting and operational improvement.

Lead a team of analysts in Fraud & Safety operations, defining KPIs, designing experiments, optimizing performance, and enabling data-driven decisions globally.

The Data Analyst will manage audience and revenue data, create dashboards, forecast growth, and provide insights to leadership and teams.

We are seeking a Data Engineer to design, build and optimize scalable data pipelines. Strong experience in Databricks, PySpark, and data warehouse concepts is required.