Top Analysis Reporting Jobs in Richmond, VA

The Senior Risk Associate supports risk reporting, participates in operational risk assessment, and collaborates on risk management strategies with leadership.

The Senior Manager, Data Analysis leads validation projects, enhances analytical tools, manages teams, and influences business strategies through data analysis.

The Lead Data Engineer will design, develop, and support technical solutions, collaborating with Agile teams to deliver cloud-based data solutions and utilizing various programming languages and big data technologies.

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

The Senior Data Engineer designs, builds, and operates data pipelines, develops ETL/ELT solutions, and ensures data delivery integrity for analytics.

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.

The Analyst II will provide data-driven insights and support to the sales team, define performance metrics, leverage AI tools, and ensure effective communication of strategies across teams.

Lead Toast's credit risk strategy, overseeing portfolio management, product growth, and analytics while ensuring compliance with regulations and mentoring analysts.

As a Business Analyst, you will analyze business goals, create process improvements, support cross-functional initiatives, and utilize AI to enhance efficiencies.

The role involves analyzing insurance classification frameworks, creating mapping documentation, and communicating classification rationale while working with stakeholders.

In this role, you'll build and scale high-throughput data pipelines, ensure data quality, and leverage AI for improved data operations. You'll also lead initiatives in a fast-paced environment focused on real estate data engineering.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.