Top Analytics Jobs in Phoenix, AZ

The Principal Program Cost and Schedule Control Analyst will conduct financial analysis, manage profitability metrics, prepare analytical reports, and coordinate cross-functional finance communications for the F-35 Finance Team at Northrop Grumman.

The Senior IT Analyst manages incidents for critical services, diagnoses system issues, supports technology and business processes, and drives system improvements. Responsibilities include facilitating testing, documenting procedures, analyzing data, and improving service quality and performance metrics.

The Data Engineer will manage the end-to-end data pipeline, focusing on data modeling, visualization, and quality. Responsibilities include designing processes for operational efficiency, mentoring junior analysts, and employing best practices to enhance data consistency, particularly in blockchain data contexts.

The Sr. Risk Analyst at Lithic will analyze data to provide insights into current and potential risks, develop and refine risk policies and dashboards, and collaborate with cross-functional teams to improve risk control strategies. The role involves monitoring performance metrics and supporting risk assessments and audits.

The Treasury Quantitative Expert leads the development and execution of quantitative models for managing credit risk, interest rate risk, and liquidity. This role involves preparing and analyzing large datasets, implementing models in production, ensuring regulatory compliance, and mentoring less experienced analysts.

As a Data Management Specialist, you will support survey data management for government and other clients, focusing on data cleaning, recoding, quality control, and compliance. You'll work with analysis teams to ensure data integrity and assist in project management, delivering accurate data files for reporting.

As a Senior Data Analyst at Wave, you will analyze user and merchant behavior, assess the impacts of product features and partnerships, and derive insights to enhance growth. Collaborating with product and operations teams, you will design and implement experiments, manage the analytics process, and help improve data infrastructure.