Top Senior Data & Analytics Jobs in San Diego, CA

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.

Analyze and improve business systems, workflows, data quality, reporting, and operational processes. Administer and optimize Deltek Vantagepoint, develop Power BI dashboards and data models, validate reporting accuracy, support CRM and financial data, and translate business requirements into scalable system solutions. Provide user support, documentation, training, testing, and implementation leadership while collaborating across Finance, HR, Marketing, Operations, and project teams.

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.

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.

Leads end-to-end regulatory reporting for OCC, Federal Reserve, and other agencies; manages a team of data analysts; ensures data accuracy, governance, reconciliation, and compliance. Partners with technology, finance, risk, and compliance teams to build scalable pipelines and automation. Uses SQL, Python, Databricks, AI/ML, and process-mining tools to improve reporting workflows, data quality, audit readiness, and examiner response. Presents findings to senior leaders and regulators and oversees remediation efforts.

The Senior Actuarial Analyst will perform complex actuarial analyses, assist in pricing and financial modeling, and support actuarial accreditation efforts. This role requires data acquisition, statistical modeling, and effective communication across departments.

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.

Analyze payment transaction data to monitor authorization rates, chargebacks, declines, and costs; build dashboards and reports in Tableau; query data with SQL/Snowflake; support investigations and optimization initiatives; present actionable insights to Payments and cross-functional partners.

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%).