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

Research AI infrastructure and economics across GPU cloud providers, AI model developers, and AI tokenomics. Build company datasets, reconcile conflicting evidence, maintain financial and unit-economics models, analyze disclosures and technical materials, conduct interview research, draft research notes and charts, and support consulting projects with market and financial analysis.

Build and operate data pipelines that integrate customer financial data from ERPs, warehouses, and payment systems. Develop AI agents that automate ERP implementations, partner with implementation teams to understand and transform customer data, and contribute to shared AI platform capabilities. The role requires strong full-stack engineering fundamentals, autonomous execution, and comfort working in an ambiguous, fast-moving environment.

Build and maintain scalable dbt data models, Python ETL pipelines, and Dagster workflows. Scrape public data, support CRM migration, improve data warehousing and SQL practices, and ensure accurate analytics data for organizational stakeholders. Collaborate with analysts, data scientists, vendors, legal and advocacy teams, and business users to define data practices and support fundraising, communications, supporter engagement, litigation, and advocacy initiatives.

Leads OpenAI’s Growth & Revenue data engineering team, owning data strategy and delivery across growth, subscriptions, billing, payments, monetization, and revenue. Builds and manages a high-performing team, develops reliable and well-modeled data products, establishes trusted metrics and quality standards, and partners with Data Science, Product, Finance, and Engineering. The role also oversees roadmap planning, privacy, governance, observability, incident response, stakeholder communication, and team hiring and development.

Own Mercor’s data platform infrastructure across Snowflake, Fivetran, Airflow, Astronomer, and Hex. Responsibilities include data organization, role-based access control, row-level security, PII masking, governed migrations, pipeline reliability, on-call support, dashboard governance, warehouse cost optimization, and CDC or streaming ingestion. The role also establishes platform standards and builds internal tooling for a new Data Platform team.

Maintain the integrity and accuracy of the Raiser's Edge donor database, monitor gift coding and new records, produce donor, financial, dashboard, and fundraising reports, reconcile gifts with Finance, generate mailing lists and acknowledgment letters, and establish database procedures and best practices. The role also coordinates data flow across software systems, supports development teams, and ensures confidential handling of donor information.

Build and scale production Python pipelines for economic and financial climate-risk models. Responsibilities include transforming research prototypes into tested infrastructure, supporting statistical, econometric, and machine-learning modeling, cleaning large financial and hazard datasets, resolving data anomalies, and collaborating with engineering, product, and client teams to document outputs and communicate findings.

Engage stakeholders to identify business needs, elicit and document functional and non-functional requirements, facilitate workshops and process mapping, support solution design, and collaborate with delivery teams through testing and change management. Maintain business cases, process flows, and requirements documentation while helping align technology solutions with business objectives.

Build and maintain IBM Planning Analytics TM1 cubes, dimensions, rules, integrations, templates, and reports supporting budgeting, forecasting, and financial reporting. Troubleshoot and optimize existing models, manage changes, document solutions, and perform SIT, regression testing, defect tracking, and go-live support during MECCA’s SAP ERP transformation. The role works closely with Finance, FP&A, and IT.

Research Analysts support project teams by gathering, processing, and analyzing economic data; conducting qualitative research; producing tables, graphs, and visualizations; reviewing documents; auditing analyses; and preparing expert testimony and client deliverables. The role also includes participating in meetings and collaborating with project managers and senior staff.