Top Analysis Reporting Jobs in San Diego, CA

Provides GIS mapping, spatial analysis, cartographic production, web maps, dashboards, and geospatial data management for environmental and multidisciplinary projects. Supports field data collection, quality assurance, data conversion, technical troubleshooting, project deliverables, and collaboration across offices. Uses Esri ArcGIS platforms to analyze and present spatial information, mentor colleagues, and deliver client-focused geospatial solutions.

Design, build, and operate Azure-based data pipelines and integrations. Consolidate data from multiple sources into centralized SQL systems, perform transformations and field mapping, and maintain data warehouse capabilities. Troubleshoot quality, integrity, latency, security, and reliability issues while applying governance, monitoring, and SLA practices. Collaborate with engineers, analysts, and stakeholders in Agile pods to deliver reusable, analytics-ready data assets.

The BI Analyst partners with business and technology stakeholders to frame analytical questions, define KPIs, validate data, identify trends, and deliver actionable recommendations. The role develops dashboards, reports, visualizations, and custom extracts; investigates data quality issues; supports BI solution planning, testing, and delivery; and improves existing analytical products. It also includes stakeholder communication, user training, standards development, and guidance for team members.

Leads the design, development, implementation, and support of business intelligence solutions, including dashboards, reports, data models, pipelines, and reporting frameworks. Translates complex business requirements into scalable data solutions, ensures data quality and HIPAA compliance, resolves technical issues, evaluates emerging technologies, and mentors team members. The role manages staff, leads projects, partners with internal and external stakeholders, and communicates technical concepts to business and executive audiences.

Design and build a modern enterprise data platform supporting analytics, reporting, machine learning, and near-real-time processing. Responsibilities include architecting warehouse or lakehouse solutions, modernizing legacy ETL, developing CDC and incremental pipelines, creating semantic layers, implementing data quality and observability frameworks, and establishing governance and retention strategies. The role also provides technical leadership and partners with Engineering, Product, Analytics, and Data Science teams.

Designs, builds, and maintains scalable Databricks and PySpark data pipelines; develops Python and SQL transformations; identifies insights from ambiguous datasets; and ensures data quality, governance, documentation, and reliable delivery. Collaborates with stakeholders and cross-functional teams to integrate data into applications and dashboards, troubleshoot pipeline issues, and support a Department of Defense Navy client.

Owns clinical data operations by building and maintaining ELT pipelines, warehouse models, data contracts, quality controls, reconciliations, dashboards, and monitoring. Integrates clinical, laboratory, sequencing, and corporate data into validated, audit-ready systems. Supports production reliability, partner data transfers, regulatory compliance, root-cause analysis, documentation, stakeholder collaboration, and technical guidance for research and development teams.

The Senior Analyst will generate insights across global tech sectors, conduct research, develop financial models, and communicate investment recommendations to drive portfolio strategies.

Lead marketing analytics and measurement strategy, build democratized dashboards and audience architecture, translate insights for executives, manage analysts and offshore delivery, align cross-functional teams, steward data ethics, integrate MarTech roadmap, and deliver impact reporting to optimize spend and drive firm growth.

Lead client-facing marketing analytics projects using SAS and statistical modeling to measure offline and digital marketing impact (MMM, attribution, pricing, forecasting); deliver analyses, recommendations, and presentations; manage and develop a team; extensive travel (80–100%).