Top Senior Analysis Reporting Jobs in San Diego, CA

Leads an analytics team supporting commercial aviation aftermarket strategy. Oversees enterprise dashboards, forecasts, analytical models, data governance, KPI development, market intelligence, business cases, and strategic opportunity analysis. Manages request prioritization, quality assurance, delivery timelines, team capacity, hiring, coaching, and performance. Partners with business development and program teams to translate aerospace data and market trends into regional growth strategies and executive recommendations.

Lead the design and delivery of governed data products for Finance and GTM teams. Build datasets, semantic models, reporting and planning solutions, and AI-enabled analytics workflows on Databricks. Establish modeling, metric, architecture, and quality standards; manage reconciliation and acceptance; partner cross-functionally with data engineering; and mentor engineers and Finance stakeholders.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

Own the architecture, performance, security, reliability, and scalability of RIVO’s Azure SQL environment. Design data models, modernize legacy databases, optimize T-SQL and workloads, manage backup and disaster recovery, implement security controls, and automate deployments. Build ETL/ELT pipelines using Azure Data Factory or SSIS, establish data quality processes, and partner with Engineering, Product, and Analytics teams on scalable data solutions and governance.

Architects, deploys, and operates large-scale Apache Kafka and Confluent environments for mission-critical event-driven workloads. Owns platform sizing, configuration, security, automation, observability, high availability, disaster recovery, and developer enablement. Partners with application and business teams to deliver reliable streaming solutions, troubleshoot production issues, conduct design and code reviews, document systems, and mentor junior engineers.

Leads analytics for connected-device user growth, engagement, retention, and expansion. Defines KPIs, develops cohort and lifecycle analyses, links user behavior to demand and revenue, builds forecasts, and creates scalable datasets, dashboards, and measurement frameworks. Partners with Product, Marketing, Finance, Commercial, Data, and Technology teams to translate insights into business actions, improve accountability, and guide strategic decisions through experimentation and analytical storytelling.

Build and deploy scalable data pipelines and platforms that organize structured and unstructured data. Perform ETL, pipeline integration, analytical exploration, and data platform design and maintenance in agile, multidisciplinary teams. Develop deployable software, support data visualization, and work with relational and non-relational databases. Projects support missions including fraud detection, cancer research, and national intelligence.

Lead a GIS team supporting MCB Camp Pendleton: manage GIS data, perform geospatial analysis, cartography, data migration, QA, stakeholder communication, technical support, and field data collection.

Designs and manages enterprise Databricks data platforms, including workspaces, clusters, Unity Catalog, SQL warehouses, Terraform infrastructure, and secure data ingestion pipelines. Builds medallion architecture with Delta Lake, supports Genie dashboards and self-service analytics, implements governance and access controls, and maintains CI/CD, testing, documentation, and operational processes. Partners with technical and business stakeholders and supports MCP connectors and agentic data integrations.

Analyze and optimize the end-to-end sales funnel by developing KPIs, dashboards, diagnostic analyses, and operational measurement frameworks. Partner with Sales, Operations, Data Engineering, and Data Science teams to improve conversion, revenue, capacity planning, and pipeline prioritization. Lead AI-native automation initiatives, including LLM analytics assistants, automated reporting, prompt engineering, and machine learning model validation.