Data Analyst Jobs in San Jose, CA

The Senior Finance Data Analyst will develop data solutions for FP&A, ensuring data quality and usability while collaborating with Data Engineers and business stakeholders.

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

Translate business needs into BI/analytics/reporting requirements; design, build, and maintain metrics, dashboards, reports, and databases; analyze issues and recommend process improvements; train users on visualizations; support integrations, data integrity, and documentation; collaborate with operations to drive data-driven decision making.

The Data Analyst Intern will migrate dashboards from various platforms to Hex, perform data validation, conduct analyses for insights, and communicate findings across teams.

Lead enterprise-scale data and AI transformation by translating business needs into AI-ready data foundations, automating data flows, defining governance and metadata strategies, shaping data products, partnering with engineering to build scalable pipelines, and driving adoption and measurable business outcomes.

As a Data Analyst at Coframe, you will respond to customer data requests, build reports, resolve data discrepancies, and automate processes.

The Senior Revenue Data Analyst will manage financial data accuracy, design data processing solutions in Python, analyze large datasets, and collaborate on process optimization within the finance organization.

Research, evaluate, and manage partnerships with data providers. Assess datasets for coverage and interoperability, support deal structuring, maintain partnership pipeline, and collaborate with product, engineering, and legal to integrate data into the platform.

The Senior Data Analyst collaborates with stakeholders to define KPIs, leads solution delivery, designs data models, and mentors junior members.

Annotate and label images and video from humanoid robots using proprietary tools, collaborate with ML engineers on guidelines, flag edge cases, maintain quality and throughput, and provide feedback to improve workflows.

The Monetization Analytics Manager will build data models and dashboards, analyze pricing metrics, support pricing strategies, and automate self-service tools for revenue optimization.

The Robot Data Operations Analyst will control robots, evaluate performance, provide quality assurance, and document observations safely in an R&D setting.

The Talent Acquisition Strategy Specialist will design and improve strategies for talent acquisition, manage projects, and analyze data to enhance recruiting processes while collaborating with HR and business leaders.