Top Analysis Reporting Jobs in Richmond, VA

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

The Staff SDET will design and implement a testing strategy for the organization’s data platform, ensuring data quality and system reliability through automated integration testing and mentoring engineers in testing best practices.

The Solutions Architect leads client integration of Cedar's platform, ensuring successful project delivery through client communication and technical expertise while managing complex data structures and operational workflows.

The Principal Data Analyst partners with leadership to translate data into insights, drive strategic decisions, and enhance operational efficiency through advanced analytics and Power BI expertise.

The role involves migrating on-premises databases to AWS, developing Python scripts for data processing, and building AWS data pipelines. Responsibilities include supporting application teams, data modeling, and ensuring system efficiency.

The Senior Actuarial Analyst will conduct analyses, provide actuarial insights, mentor junior actuaries, and influence management decisions in underwriting and profitability.

Develop and maintain Teradata solutions using BTEQ and Informatica. Coordinate work in an onshore/offshore model, communicate with clients, and ensure effective collaboration with offshore teams. Teradata expertise is mandatory.

The Data Engineer II will design, build, and maintain data pipelines, ensuring data governance and security. Responsibilities include coding in Python, managing data processing, and collaborating with data teams.

Serve as an Enterprise Data Management subject matter expert: coordinate EDM customer communications, monitor system update logs, participate in regression testing, define processes, collect metadata, produce documentation, and ensure deliverables meet standards.

Support and maintain data ingestion, ETL, and normalization pipelines into Azure SQL and Azure Data Lake using ADF, Databricks, SQL Data Tools, and Python. Ensure data quality and security, assist client onboarding, create technical database documentation, and collaborate with data and client services teams to support higher-education partners.