Data Analyst Jobs in Irvine, CA

The Data Analyst will support corporate planning through analytics, creating dashboards and conducting quantitative analyses to enhance decision-making processes.

The Senior Master Data Engineer is responsible for governance of supply chain data, improving data integrity, supporting analytics, and facilitating cross-functional collaboration.

As a Data Analyst at GFiber, you'll analyze complex datasets, present insights, collaborate with teams, and develop visualizations to drive impactful data-driven decisions.

Design and maintain user-friendly dashboards, apply UI/UX data visualization best practices, integrate and validate ad-tech data sources, perform QA, monitor and troubleshoot reports, manage month-end billing reporting, standardize KPIs and documentation, automate recurring reports, and support ad-hoc reporting for cross-functional stakeholders.

Work cross-functionally to collect and analyze large, disparate data sets, build forecasting and experiment models, create internal and external dashboards, measure campaign impact, perform EDA/NLP, and communicate insights to stakeholders to inform business strategy.

The Senior Financial Data Analyst transforms financial data into insights, enhances reporting processes, collaborates across teams, and supports strategic decision-making.

The Business Operations Analyst optimizes internal processes, manages P&L, collaborates with teams, and drives improvements in forecasting and reporting for semiconductor solutions.

The Senior Analyst, Data Analytics manages data pipelines and analytical models, delivering analytics and reporting to stakeholders. This role involves translating business needs into data requirements, building automated ETL processes, and ensuring data quality and governance.

Lead market and competitive intelligence using syndicated data and retailer metrics. Provide consumer insights, forecasting and scenario models, SKU and channel analysis, and executive dashboards to inform product, sales, and marketing decisions.

The Data Product Analyst will manage backlogs for Trade Processing platforms, collaborating with business stakeholders and engineering teams to enhance data quality and operational efficiencies.

The Principal Data Science Analyst develops analytical and machine learning solutions, collaborates with stakeholders, delivers insights, and leads analytics workstreams to drive business growth and operational efficiencies.

The Business Operations Analyst will optimize processes, manage internal deliverables, and generate product P&L while collaborating with finance and development teams. Strong communication and analytical skills are essential.