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

Lead design, build, and maintenance of scalable data pipelines, sandbox databases, and analytics dashboards. Investigate and resolve complex data discrepancies, perform ETL/ELT, data modeling, and performance tuning using Databricks, Starburst, Kafka, SQL, and Python. Partner cross-functionally, enforce data governance, document processes, and mentor team members to support research prototyping and business insights.

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.

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.

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.

Lead hands-on analytics and a small team to improve eBay's shipping ecosystem using advanced analytics, AI, experimentation, and predictive modeling. Build models, simulations, data pipelines, dashboards, and run A/B tests to optimize managed shipping, carrier routing, delivery performance, and label adoption. Partner with Product, Engineering, Finance, and business teams to translate insights into measurable operational and business outcomes.

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.

Support the View Item product by defining metrics, running experiments, and applying statistical and machine learning methods to inform roadmap decisions. Design and analyze A/B tests, build predictive and experimental models, translate insights into product recommendations, and partner with Product, Engineering, and business stakeholders to improve buyer and seller outcomes at scale.

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 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.