Top Remote Data & Analytics Jobs in Phoenix, AZ

Lead the design and delivery of enterprise-scale knowledge graph solutions for the U.S. Government, focusing on architecture, operationalization, and integration of complex data systems.

The role involves developing forecast models for oncology products, collaborating with teams, and communicating assumptions for strategic decision-making across the organization.

The Senior Data Engineer will architect and maintain data platforms, build scalable data infrastructure, mentor teams, and drive healthcare data improvements and product integration.

As a Principal Data Engineer, you will design and implement data infrastructure and solutions, collaborating across teams to enhance healthcare data usage.

The Business Analyst collaborates with teams to identify needs, gather requirements, improve operations, and ensure IT solutions align with business objectives, especially within the healthcare industry.

As a Senior Data Engineer, you will design and maintain data warehouses, ensuring data quality, manage data transformations, and mentor others while partnering with various stakeholders.

As a Senior Data Analyst, you will leverage data and visual analytics to design dashboards, collaborate with teams, and ensure data integrity while working on public-sector projects.

Investigate financial transactions to identify potential money laundering activities, utilize AI for analysis, document findings, and collaborate with product teams on improvements.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

The Data Engineer I is responsible for building reliable ELT/ETL pipelines, implementing data quality checks, and optimizing data models using dbt, while collaborating with stakeholders to ensure data reliability and consistency.

Lead data initiatives, develop machine learning models, conduct analysis to improve programs, and collaborate with cross-functional teams to drive results for health insurance enrollment.

Lead the design of DataOps platforms, focusing on scalable data infrastructures and automation frameworks. Oversee robust data orchestration and establish quality frameworks.