Top Data & Analytics Jobs in San Diego, CA

Develops BI models, dashboards, reports, predictive analyses, and visualizations for Navy leadership assessment programs. Analyzes large datasets, identifies trends, supports executive decision-making, maintains data systems, prepares quarterly performance reports, and coordinates with stakeholders. The role also supervises an administrative assistant and may moderate milestone interviews.

Designs, builds, and maintains real-time and near-real-time data ingestion pipelines using Apache NiFi, REST APIs, scripting, and streaming technologies. Monitors data quality, pipeline health, observability, reliability, and performance while moving classified data across security domains. Develops automation for validation and alerting, documents data flows and procedures, and collaborates with engineering, platform, analytics, security, and governance teams to ensure compliant, trustworthy data delivery.

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.