Top Analysis Reporting Jobs in San Diego, CA

The Senior Actuarial Analyst collects data, performs analyses for pricing and reserves, and supports actuarial projects while progressing towards actuarial accreditation.

Lead operational management and support of the enterprise data platform (primarily Snowflake), ensuring stability, scalability, observability, incident management, and migration from SQL Server. Manage data operations team, establish runbooks/SLAs, coordinate cross-functional readiness, drive continuous improvement, and ensure governance, compliance, and performance of data pipelines and platform services.

Design, build, and maintain scalable data platforms and ETL/ELT pipelines using Databricks/Spark and AWS. Develop backend data services in C#/.NET, ensure data quality and performance, leverage AI-assisted coding tools, collaborate with cross-functional teams, lead technical design decisions, and mentor engineers.

Oversee client proposals and projects, enhance data processes, drive client engagement, mentor teams, and contribute to organizational development in the life sciences sector.

As a Data Engineer at Booz Allen, you will organize data from varied sources to derive insights, develop data pipelines, and support mission-driven projects. You will work collaboratively within a multidisciplinary team in an agile environment.

Analyze payment transaction data to monitor authorization rates, chargebacks, declines, and costs; build dashboards and reports in Tableau; query data with SQL/Snowflake; support investigations and optimization initiatives; present actionable insights to Payments and cross-functional partners.

The Associate Director will lead commercial forecasting and market insights for RayzeBio's assets, integrating data from market research and competitive intelligence to inform strategic decisions. They will also design research studies, conduct data analyses, and communicate insights to senior stakeholders across the organization.

Support data engineering and statistical analysis for readiness and decision support. Build ETL/ELT pipelines in Databricks/Spark, prepare analysis-ready datasets, apply statistical and ML methods, create Power BI dashboards, assist with NLP/LLM tasks, and document data products while supporting senior analysts and operational reporting.

Design, build, and maintain scalable data models, pipelines, and platform components across regions. Extract, transform, and load large datasets using SQL, Spark and AWS services. Document data architecture and catalogue, collaborate with stakeholders and test engineers, and support data access, integrations, and data-quality practices.

Support sustainment systems engineering by designing data pipelines, performing statistical analysis, creating dashboards, maintaining VMs/databases, and promoting data governance and cross-functional integration to enable data-driven decisions.