Data Analyst Jobs in Irvine, CA

Gathers, cleans, analyzes, and visualizes complex data to produce reports, dashboards, metrics, trends, and actionable business insights. Collaborates with stakeholders to define data requirements, validate data accuracy, address data challenges, maintain SQL scripts and recurring workflows, and improve reporting processes. Supports data-related projects and develops technical expertise while complying with applicable regulations and training requirements.

Drive reporting and analytics for the sales and operations planning process across demand, supply, and inventory. Build Power BI dashboards, recurring reports, and executive presentations; analyze forecast accuracy, inventory health, service levels, and supply chain KPIs; reconcile fragmented data; identify risks and root causes; and recommend actions. Partner with planning, finance, operations, commercial, IT, and data teams while using AI tools such as Microsoft Copilot to automate reporting and generate insights.

Supports weekly and monthly S&OP reporting across demand, supply, inventory, and financial performance. Builds Power BI dashboards, recurring reports, and executive presentations; analyzes forecast accuracy, inventory health, service levels, and plan deviations; reconciles fragmented data from ERP and planning systems; and provides actionable insights to cross-functional stakeholders. Uses AI tools such as Microsoft Copilot to automate reporting, summarize variances, detect anomalies, and improve analytics workflows.

Own end-to-end data and reporting solutions for a regulated mortgage lender. Responsibilities include request intake, requirements gathering, advanced SQL development, data profiling, validation, reconciliation, testing, UAT, migration support, launch readiness, post-launch monitoring, and stakeholder communication. The role also ensures data lineage, quality, compliance, and alignment with mortgage regulations while managing projects from scoping through production support.

Leads clinical data management for complex, multi-site studies, including defining data collection requirements, developing eCRFs and edit checks, coordinating user acceptance testing, creating data management plans, analyzing data quality trends, administering database access, resolving collection issues, and maintaining SOPs and training materials in compliance with clinical research regulations.

Develop and maintain reusable finance data products, reporting solutions, data models, and visualizations for Global Finance. Translate business requirements into scalable solutions, support product lifecycles, resolve issues, manage delivery workstreams, and communicate insights to technical and business stakeholders. Partner with finance and technology teams to improve reporting, operational problem-solving, and data-driven decision-making.

Analyze clinical trial and imaging data to identify trends, anomalies, and data-quality issues. Aggregate information from Power BI reports, EDC, CLARIO, and other sources; create dashboards and customized reports; troubleshoot discrepancies; and develop tools that improve analysis efficiency. The role partners with clinical and cross-functional teams to support forecasting, reporting, process improvement, and evidence generation for transcatheter heart valve products.

Perform advanced data cleaning, statistical analysis, and multivariate modeling to produce dashboards and reports. Translate data into actionable recommendations, lead SDLC tasks, create BRDs, present findings to stakeholders, and mentor junior team members.

Design, develop, and maintain dashboards, semantic models, and reports using Microsoft Fabric, Power BI, and Snowflake. Analyze high-volume data sets, write and optimize complex SQL (PostgreSQL), ensure data quality, collaborate with cross-functional stakeholders, and support report migrations and deployments. Provide actionable insights to drive business decisions and work independently on complex analytics projects.

Support accounting and finance modernization by developing and maintaining integrations, workflow automation, transaction-to-GL mapping, reconciliations, data validation, testing, and production support across banking platforms. Partner with business, data, technology, and vendors to ensure financial data integrity, SOX controls, and successful system implementations and upgrades.

Support practice groups and leadership by collecting, cleaning, integrating, and analyzing data from finance, timekeeping, and billing systems. Build SharePoint lists, automated forms, and dashboards in Power BI; use SQL, Python, PowerShell, and APIs for data integration and automation. Produce recurring and ad hoc staffing, utilization, and productivity reports and coordinate with People Ops, Finance, Recruiting, and practice leaders to optimize staffing and workflows.

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.