Top Remote Analysis Reporting Jobs in San Diego, CA

Lead cross-channel customer experience analysis by combining quantitative and qualitative signals (NPS/CSAT/CES, contact center, digital analytics, transactional and complaint data). Design and run deep-dive investigations, translate findings into operational recommendations, coach analysts, partner with channel owners, and maintain measurement and narrative standards to drive quarter-over-quarter operational change.

The Data & Analytics Leader will develop a multi-year roadmap to enhance data governance and analytics capabilities, while fostering a data-driven culture throughout ERAC.

Lead enterprise data architecture, governance, integration, and platform roadmap. Establish data models, lineage, cataloging, access controls (RBAC/ABAC/IAM), and M&A data integration while partnering with Finance, GTM, HR, IT, Security, Legal, and Product to ensure trusted, secure, and usable enterprise data.

Own design and implementation of a greenfield analytical data platform: ingesting PostgreSQL and Kafka streams, establishing governance, data lineage, quality, monitoring, and compliance-ready pipelines. Evaluate AWS-native tooling, Snowflake, and Databricks; produce RFCs and documentation; mentor junior engineers and ensure analytical systems remain downstream of transactional sources.

Manage and integrate preserve-based spatial and relational data for ~150 preserves: collect field infrastructure and accessibility assessments, perform complex spatial analyses and data modeling, maintain databases and GIS libraries, produce maps/reports/dashboards, provide technical support and training, and coordinate with staff and volunteers. Requires field travel and rugged-terrain access.

Lead cross-functional analytics to inform clinical and operational decisions: build Tableau dashboards, create dbt analytical models, analyze large healthcare datasets (claims, EHR, HIE) with SQL, respond to ad-hoc requests via JIRA, and collaborate with product and engineering to improve data capabilities.

The Senior Data Engineer will design and maintain scalable cloud-native data pipelines, develop APIs, implement advanced analytics, manage AI workflows, and enhance data operations collaboratively.

Lead a Salesforce data engineering team to design, deliver, and support Salesforce-to-Salesforce integrations and migrations, data modeling, ETL/transformations, automation, and observability. Manage hiring, performance, and career development; partner with stakeholders; adopt AI/LLM agent tooling to automate workflows and improve data quality; reduce technical debt and document systems and processes.

Hands-on business and delivery analyst who translates stakeholder needs into data integration solutions. Leads current/future-state and gap analysis, requirements, mapping, migration, testing, and delivery coordination. Partners with Operations, Finance, Compliance, and Purchasing to streamline workflows, promote data-driven decisions, and support adoption of analytics and cloud-based tools to improve operational outcomes.

Lead analytics for Wealth Solutions: analyze client segmentation, revenue, and operational data; build models for capacity and workforce planning; produce insights and recommendations for senior leadership; partner with BI and Finance to improve advisor productivity, client experience, retention, and revenue growth; support strategic projects and translate complex data into clear presentations.