Top 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.

Build and operate governed Finance data infrastructure on Databricks, including scalable pipelines, integrations, semantic layers, data-quality controls, observability, and AI-enabled services. Partner with analytics and enterprise teams on architecture, data contracts, security, recoverability, and production ownership. Optimize platform costs through FinOps practices and use AI coding assistants while validating performance, correctness, and security.

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.

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.

Collect, process, and analyze large datasets using statistical methods to answer business questions. Develop dashboards, narratives, KPIs, and actionable insights; maintain data processes and analytics capabilities; ensure data quality; resolve data issues; and translate business problems into functional and technical requirements. Coordinate key tasks and resources to meet cost and schedule objectives while collaborating across departments.

Administer Agiloft CLM and People Services platforms, support Legal and HR stakeholders, develop data integrations and models, establish governance and quality controls, and deliver Power Platform, Fabric, BI, automation, and reporting solutions. The role also supports access governance, change management, documentation, Agile delivery, and emerging AI technology evaluation.

Lead enterprise data governance strategy and operating model implementation, including ownership, stewardship, quality, metadata, classification, access policies, and regulatory alignment. Establish governance councils, define accountability, and drive adoption of cataloging, lineage, and data quality tools such as Collibra, Alation, and Microsoft Purview. Manage cross-functional workstreams, stakeholders, and delivery across regulated enterprise environments, with potential client travel of up to 80%.

Manages the firm's matter-related data assets, including matter profiles, experience data, knowledge management products, dashboards, and reporting. Oversees data quality, validation, platform administration, stewardship procedures, and process improvements. Partners with attorneys, practice groups, marketing, pricing, and data teams to translate business needs into data products and support AI and transformation initiatives. Supervises and develops direct reports while ensuring confidentiality, operational coverage, and compliance with firm policies.

Develop scalable data processing and analytics tools for engineering and business data. Translate stakeholder problems into analytical requirements, build end-to-end ETL and relational data solutions, create user interfaces, perform exploratory analysis, detect trends and anomalies, and communicate actionable insights through effective visualizations and reporting. Collaborate with technical and programmatic teams while following production coding, version-control, and development lifecycle practices.

Leads enterprise data engineering teams and roadmaps spanning orchestration, observability, batch modernization, and legacy workload migration. Oversees architecture, delivery, reliability, testing, deployment, and production support for large-scale data platforms and pipelines. Establishes engineering standards, partners across technical and business teams, develops talent, manages vendors, and evaluates emerging technologies. Requires deep AWS, infrastructure-as-code, orchestration, modern and legacy data environment, and enterprise platform leadership experience.