Top Senior Analysis Reporting Jobs in Richmond, VA

Design and implement data infrastructure and pipelines, ensuring reliability and quality. Collaborate with teams for data solutions and optimize processes. Coach junior engineers.

The Senior Director of Data Platform leads LINQ's Business Systems and Data Engineering functions, overseeing strategy, team development, and ensuring data governance while delivering scalable solutions aligned with business needs.

Responsible for designing, developing, and maintaining databases and ETL systems to support business applications and business intelligence. Collaborates with stakeholders to align business requirements and leads the design of automated solutions for operational efficiency.

As a Sr. Data Analyst, you'll analyze financial data in structured finance, collaborate with engineering, and provide insights to clients in the industry.

Oversee quality assurance for variant interpretation, lead a team of scientists, ensure adherence to guidelines, and support clinical deliverables.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

The Senior Principal Data Solutions Partner leads client relationships, driving data-driven strategies for enterprise accounts, collaborating across teams to optimize performance and deliver insights that enhance business outcomes.

As Measurement Lead, you will manage high-stakes customer discussions about campaign results, write SQL for data analysis, build dashboards, and collaborate with various teams to enhance Kard's measurement approach.

Lead the design and operation of Twilio's ML and data platform, architecting cloud-native pipelines and implementing MLOps best practices while mentoring engineers and collaborating across teams.

The Director of Data Strategy and AI leads data and AI initiatives to enhance analytics programs, drives client strategy, and ensures effective AI product deployment. Responsibilities include managing cross-functional teams, supporting new business development, and overseeing technical infrastructure for analytics and internal tools while facilitating communication between technical and business stakeholders.