Top Data & Analytics Jobs in San Francisco Bay Area, CA

Lead integration of GIS applications with SAP and OverIT, design GIS architecture using Esri/ArcGIS, manage project planning and delivery, coach teams, build client relationships, convert and integrate GIS data, and ensure technical and professional standards.

Lead design and implementation of enterprise Product Information Management (PIM) solutions, drive product data strategy and integrations, improve data quality and processes, mentor team members, and support business development and client engagement to align product data practices with organizational goals.

Design and implement data architecture and scalable ETL/ELT pipelines on cloud platforms (AWS/Azure/GCP). Analyze complex problems, mentor junior staff, ensure data governance/security compliance, liaise with stakeholders, and deliver high-quality client solutions while developing technical and client-facing skills.

Build the canonical customer operating data layer by integrating Salesforce, Jira, Langfuse, Snowflake, product telemetry and other sources. Surface health and adoption signals, build executive reports and visualizations, implement reconciliation, freshness and backfill logic, support automation and AI summaries, and partner with business and BI stakeholders to translate lifecycle definitions into durable, production-ready workflows and data structures.

The Economist will analyze travel and spending data to identify trends, craft insights, and present findings, serving as an economic advisor to leadership.

The Quantitative Methodologist Expert will design and deliver complex quantitative research solutions, applying advanced methodologies to address business questions and drive data-driven outcomes.

Contract marketing data analyst to clean and rebuild marketing data models, integrate ad/analytics and conversation data into Snowflake, ship dashboards, implement quality monitoring, align GTM models, and produce a data dictionary for team and LLM consumption.

Lead enterprise data management strategy to improve data quality, transparency, and risk controls. Advise senior leadership, design complex analyses, remediate data issues, drive governance, metadata, lineage and observability initiatives, and coordinate cross-functional implementation of sustainable, automated data solutions.

Design and maintain data architecture and pipelines to support compliance and risk teams. Build and optimize data models, standardize metrics, and create data dictionaries. Implement data quality, lineage monitoring, AI-driven agents for false-positive reduction and automation, and participate in on-call rotations to ensure SLAs are met.

Lead and scale the data engineering organization to build data products and architecture that power GTM (marketing and sales) strategy. Define technical strategy, enable reporting, analytics, data science, ML/AI workloads, and partner with IT, product, analytics, and GTM stakeholders to deliver production-grade data platforms and services.

The Senior Analytics Engineer will manage the analytics layer, owning dbt projects, orchestrating data pipelines, defining metrics, and ensuring data quality while mentoring the data team.

Design, build, and deliver scalable data pipelines and products end-to-end. Partner with analytics, product, and engineering to ingest diverse data sources, implement dbt transformations, ensure data quality, CI/CD, observability, monitoring, and cost/performance optimization. Leverage AI/automation for self-service tooling and intelligent pipelines while driving stakeholder alignment and reliable production operations.