Data Analyst Jobs in Sunnyvale, CA

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

The Data Analyst is responsible for developing and executing service requests, conducting data analysis and visualization, building data pipelines, and improving data-driven processes. They engage with clients, ensuring data accuracy and automated reporting to optimize business operations.

The People Data Analyst role involves analyzing employee data to provide insights on engagement and retention, developing dashboards, and ensuring data integrity for HR reporting.

Manage product data and part creation across the product lifecycle for AR/VR hardware. Create/release complex BOMs, manage ECOs and AMLs, support NPI and prototype builds, partner with engineering, supply chain, manufacturing, and program teams, and provide PLM end-user support and governance.

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.

Perform advanced web analytics to evaluate marketing and product performance using SiteCatalyst. Query and analyze data with SQL, present insights to stakeholders using Excel and PowerPoint, and collaborate with business partners to drive data-informed decisions. Contract role, SiteCatalyst certifications and Netezza experience preferred.

Lead functional design and governance for SAP PP/MM master data (materials, BOM, routings, work centers). Drive PLM-to-SAP integrations, production support, MDM/DQM programs (SAP MDG, Informatica), data taxonomy/lineage, and influence executives to improve supply chain data quality and processes.

Support chip product lifecycle setup and program release governance across engineering, planning, and manufacturing. Convert engineering definitions into manufacturable items and SKUs, maintain data integrity in E2Open/Serus and SAP, define production flows and BOMs, track yields and forecasts, collaborate with IT and partners to build integrations, and analyze processes to recommend and implement improvements.

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.

Audit and ensure quality of data labeling outputs, coach and onboard Data Labeling Associates, provide actionable feedback, monitor workflows, identify patterns and edge cases, and help improve guidelines and processes in human-in-the-loop AI workflows.

Audit and validate data labeling outputs, provide structured feedback and hands-on training to annotators, monitor workflows and escalate issues, help apply and improve guidelines, and identify patterns in human and model outputs to maintain high-quality AI training data.

Audit and review data labeling outputs, provide actionable feedback, train and support labeling teams, monitor workflows, identify recurring issues and edge cases, participate in calibrations and stakeholder syncs, and help improve guidelines and processes in human-in-the-loop AI workflows.

Audit and ensure quality of labeled data by reviewing DLA outputs, providing feedback and coaching, supporting onboarding and training, monitoring workflows, identifying recurring issues and edge cases, and contributing to guideline and process improvements in human-in-the-loop AI workflows.

Audit and improve data labeling quality in human-in-the-loop ML workflows. Coach and onboard labelers, provide actionable feedback, monitor queues, identify recurring issues, and help refine guidelines and processes.

Audit and ensure quality of data labeling outputs, coach and onboard annotators, enforce and improve guidelines, identify recurring issues and edge cases, escalate risks, and document feedback to support human-in-the-loop AI workflows.

Audit and ensure quality of data labeling outputs, coach and onboard annotators, apply and refine guidelines, monitor workflows and escalate issues, document findings, and support human-in-the-loop AI evaluation processes.

Audit and monitor data labeling outputs, provide actionable feedback, support onboarding and training of annotators, enforce and improve guidelines, escalate workflow issues, and document findings to maintain high-quality human-in-the-loop AI data processes.

Lead master data governance and business analysis for product/material data across Agile PLM, SAP MDG and S/4HANA. Define governance, steward data, design MDG workflows and integrations, drive data migration/cleansing, perform impact analysis, support cross-functional stakeholders, and champion data quality improvements.

The role involves supporting the Finance department through analytical reporting, data management, and collaboration with IT to ensure data accuracy and reliability using tools like Power BI and Tableau.

Design, build, and maintain production-grade ETL/ELT pipelines and data models using dbt, Spark, and cloud platforms. Manage ingestion, data quality, observability, semantic layers, and BI outputs. Collaborate with analysts and data scientists to deliver governed, high-quality data products and implement DataOps and CI/CD practices.

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

Audit and ensure quality of data labeling work for ML using human-in-the-loop processes. Provide feedback, train and support annotators, monitor workflows, identify recurring issues, and help improve guidelines and processes.