Top Remote Data & Analytics Jobs in San Diego, CA

Lead data product strategy and governance for customer-facing reporting within Managed Services. Own reporting product roadmap, data quality, standards, delivery platforms (Redwood Insights, BI, Snowflake, Excel), implementation readiness, and cross-functional alignment to scale trusted, automated customer analytics and reduce manual reporting.

Lead analytics strategy for federal programs: perform statistical modeling, forecasting, and data mining; build dashboards and automated workflows; ensure NIST/FISMA compliance and data quality; present findings to government stakeholders; mentor junior analysts and manage analytics workstreams.

Lead hands-on development and validation of travel demand models and transit forecasts using statistical and programming tools; manage projects, client relationships, and staff; support business development and present technical findings.

Design, validate, and deliver enterprise modern data management platforms (lakehouse, open table formats, object storage) with governance, compliance, streaming pipelines, metadata/catalog integration, federated query, and AI-ready data foundations. Build reference architectures, run POCs/labs, produce customer-facing guidance, and partner across product, engineering, and field teams to enable production-grade, compliant data solutions.

The Technical Enablement & Documentation Lead is responsible for developing and maintaining product documentation, creating a certification program, and collaborating with teams to improve the knowledge experience for Flosum's users.

As a Curriculum Manager, you'll create and manage cloud education content, collaborating with experts, utilizing AI tools, and addressing curriculum gaps.

Own product telemetry, maintain dbt models in Snowflake, support self-service reporting and NLP queries, drive product insights from user and retention data, and monitor Airbyte syncs to ensure data quality.

Design and own end-to-end data platform architecture, build ingestion and transformation pipelines, model multi-tenant datasets, optimize Postgres and ClickHouse performance/cost, implement orchestration and observability, define data quality and reconciliation standards, and mentor data/product engineers.

The Fraud Analyst monitors transactions for suspicious activity, uses fraud detection tools, documents findings, communicates with clients, and supports the Risk & Compliance team.

Lead and run Alpaca's data governance and data security program across the lakehouse and analytics stack. Build policies, data classification, entitlement reviews, access controls, metadata/lineage, data quality standards, vendor and use-case reviews, audit evidence for SOC2/ISO27001, and support cross-border sensitive data requests while partnering with Data Engineering, Data Science, Security, Privacy, and Legal.