Top Data & Analytics Jobs in San Diego, CA

Performs recurring quality checks on commercial life sciences datasets, investigates anomalies, validates data ingestion and integrations in Databricks, maintains data dictionaries and lineage documentation, and collaborates with stakeholders and vendors to resolve issues. Supports governance standards, ad hoc analysis, reporting, training, automation, and continuous improvement of commercial data quality processes using SQL and data observability tools.

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.

Leads marketing analytics capabilities, including KPI frameworks, recurring reports, executive dashboards, forecasting, predictive modeling, segmentation, and data governance. Translates marketing and business data into recommendations on acquisition, retention, channel performance, ROI, LTV/CAC, and brand health. Directs analytics resources and partners with Marketing, Sales, Finance, and leadership to support data-driven planning, reporting, and strategic decision-making.

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 Risk Analyst ensures accurate reporting and management of commodity exposures and P&L, while identifying risks and enhancing business transparency through data analysis and reporting.

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