Top Data & Analytics Jobs in Richmond, VA

Design, build, and maintain forecasting and portfolio optimization models for U.S. power markets; analyze market outcomes, track supply/demand/congestion dynamics, and apply statistical, optimization, and ML methods to inform commercial decisions.

As a GTM Engineer, you will optimize go-to-market strategies by deploying AI-driven workflows, collaborating with multiple teams to enhance efficiency and effectiveness.

As a Principal Data Architect, you'll lead AI-native data transformations using GCP, design AI architectures, modernize legacy systems, and collaborate with clients.

Implement and deliver Microsoft-based data solutions: gather requirements, build ETL pipelines, perform dimensional modeling, develop complex transformations (SQL, Python, DAX), and create Power BI reports while mentoring teammates and supporting client engagements.

Lead end-to-end web and mobile analytics: design and implement tagging strategies, ensure data quality, build data pipelines and dashboards, analyze user behavior, and provide actionable insights to Product, Marketing, and Engineering stakeholders.

Lead business intelligence analysis and reporting using SQL, Looker/LookML, and web analytics. Build dashboards, monitor data quality, provide insights and recommendations, mentor junior analysts, and partner with stakeholders and clients globally to solve complex business problems and support marketing/web analytics initiatives.

The Senior Data Engineer will design and implement complex data models, collaborate on data governance, lead data initiatives, and mentor team members.

The Finance Expert will enhance AI models by providing data annotations related to fixed income markets and collaborate with technical teams to improve model performance.

The Credit Analyst Expert enhances AI models by providing high-quality data annotations, collaborating on credit analysis and risk assessment tasks, and refining annotation tools.

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

Lead content programming through analysis, classification, and editorial judgment. Monitor performance, synthesize query analysis, propose product improvements, curate content, and collaborate with Engineering/Data Science on LLM/ML/NLP initiatives.

The Business Intelligence and Analytics Manager is responsible for developing and improving the reporting environment using Microsoft Power BI, ensuring alignment with business needs, and providing insights for decision making.