Top Senior Level Analytics Jobs in Phoenix, AZ

The Senior Data Analyst/CQI Manager will lead a team to support data analysis and quality improvement initiatives within a federal consulting project. Responsibilities include designing case tracking systems, analyzing data trends, developing reports, and conducting data-driven storytelling to enhance service delivery for unaccompanied children in ORR custody.

The Principal Data Engineer will architect and implement scalable data solutions, lead the data engineering team, optimize data performance, and ensure data governance and security compliance. The role involves collaboration with product managers and technical mentorship to enhance the data ecosystem of the organization.

The Senior Revenue Operations Analyst at Apptegy will analyze performance data, develop forecasts, and collaborate with sales and client success teams to refine methodologies for client health scoring and commission structures, driving revenue growth and operational effectiveness.

The Principal Security Analyst will maintain the Information Security Program at WelbeHealth, focusing on Azure Cloud Infrastructure and DevOps. Responsibilities include monitoring the Azure environment for risks, leading security assessments, implementing security controls, and collaborating with teams on security policies and procedures.

The Lead Data Visualization Developer is responsible for designing and creating dashboards and reports based on client needs, utilizing SQL for data exploration and collaborating with stakeholders for effective data visualization solutions. This role focuses on supporting self-service analytics environments rather than advanced data science techniques.

As a 2nd VP and Actuary, you'll direct interest rate and liquidity risk management, optimize ALM and capital analytics strategies, and drive economic capital planning while collaborating with various teams. This role focuses on strategic financial decision-making with a heavy emphasis on risk management and financial modeling within the organization.

The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.