Top Analysis Reporting Jobs in San Diego, CA

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Design and execute advanced statistical and data analyses for client projects, using tools such as R, Tableau, SAS, VBA, and Excel. Translate data into actionable insights, communicate findings to clients and internal teams, collaborate on solution implementation, and take ownership of project deliverables.

As a Deployment Strategist, you'll analyze customer data needs, integrate datasets, build workflows, and train users to enhance their decision-making capabilities using Palantir's software offerings.

Designs, governs, validates, and deploys enterprise ontologies, taxonomies, vocabularies, and knowledge graphs. Translates business domains into standards-compliant semantic models using OWL, RDF, RDFS, SKOS, SHACL, SPARQL, and mapping technologies. Facilitates stakeholder workshops, develops competency questions, supports data integration and NLP teams, and collaborates across engineering, AI/ML, product, and business teams. The role also coaches junior staff, manages ontology quality and delivery standards, and requires 20–80% travel.

Build and deploy scalable data pipelines and platforms that organize structured and unstructured data. Responsibilities include ETL development, data platform design and maintenance, analytical exploration, database integration, automation, and collaboration with analysts, developers, data scientists, infrastructure engineers, and data consumers in agile, mission-driven environments.

Own Power BI migration and analytics platform governance while leading data initiatives, reporting automation, data quality validation, and enterprise data warehouse scalability. Partner with clinical, operations, finance, and leadership stakeholders to translate business needs into analytical requirements, define metrics and acceptance criteria, troubleshoot integrations, and develop reliable internal and client-facing reporting solutions.

Administers, tests, secures, and implements enterprise databases supporting DoD modernization and acquisition programs. Troubleshoots and updates SPIDER, RIPTIDE, NM.net, and related systems; maintains baseline accuracy; supports engineering integration and system dependency assessments; and contributes technical recommendations during design reviews and working groups. Coordinates database changes, safeguards sensitive data, and works independently or within technical teams.

Owns customer-facing data engineering engagements from discovery through delivery. Leads workshops, presents to technical and executive stakeholders, translates business needs into data, analytics, and AI solutions, and builds applied AI prototypes. The role also manages scoping, estimates, risks, and cross-functional delivery with Sales, Product, and Engineering. Required expertise includes SQL, cloud data warehouses, Python, dbt, data governance, Git, CI/CD, and strong customer communication.

Produces regular, ad hoc, and specialized internal and client reports; manages reporting schedules and distribution lists; investigates data inconsistencies; gathers stakeholder requirements; communicates findings; and compiles data for business analysis. The role requires Excel and Windows proficiency, troubleshooting ability, strong communication and customer service skills, prioritization, and independent work. Previous reporting experience and ProLaw knowledge are preferred.

Analyze and improve business systems, workflows, data quality, reporting, and operational processes. Administer and optimize Deltek Vantagepoint, develop Power BI dashboards and data models, validate reporting accuracy, support CRM and financial data, and translate business requirements into scalable system solutions. Provide user support, documentation, training, testing, and implementation leadership while collaborating across Finance, HR, Marketing, Operations, and project teams.