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.

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.

Analyze and report on data center operational metrics (electrical usage, PUE, incidents, tickets, headcount), maintain internal/external data repositories, manage external reporting partners, build cost and forecasting models, prepare executive presentations, and support budgeting and performance tracking across a global data center portfolio.

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

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

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 Data Center Energy Analyst will manage, analyze, and forecast energy usage and cost data across data centers, ensuring data integrity and reporting for operational decisions.

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.

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.

Lead design and delivery of production data platforms, pipelines, and analytics. Architect Snowflake/Databricks solutions, build ETL/streaming ingestion, implement dbt transformations, data quality, observability, and governance, support BI and AI/ML feature/data pipelines, and mentor engineers while driving DataOps and platform best practices.

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.

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 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.

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 Lead Data Annotation Business Analyst will manage data annotation projects, define ontologies, collaborate with teams, and optimize processes for AI model training.

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.