Top Remote Data & Analytics Jobs in Phoenix, AZ

The Policy and Data Analyst supports health IT projects by conducting research, analysis, and evaluation of health care programs, focusing on reimbursement models and quality measures through data analytics and reporting.

The Deploy Engineer will onboard clients onto Ometria's product, ensuring data integration, validation, and client training, while maintaining platform reliability and establishing strong client partnerships.

The Business Intelligence / Data Analyst will optimize the data reporting pipeline using Google Big Query and Omni, work with product management, implement reports, and conduct ongoing maintenance.

As a Data Engineer, you will develop solutions for customer-centric technology, ensuring platform integration and managing data architecture. Responsibilities include building data processes, maintaining data integrity, and collaborating cross-functionally to meet business challenges.

The Data Engineer Consultant will design and implement scalable data solutions, advise clients on optimizing data environments, and develop ETL pipelines and data models to support business objectives.

Design and optimize SQL Server solutions, manage data, automate processes with PowerShell, and integrate with external systems to enhance functionality.

The Senior Data Engineer will design, build, and support data environments, orchestrate pipelines, and implement data solutions for advanced analytics and machine learning, working closely with project teams.

Lead end-to-end data acquisition, ingestion, curation, and storage for foundation models (3D, video, image, audio). Ensure legal compliance, negotiate vendor contracts, develop tooling and standards for searchable, indexed datasets, and align data strategy with research and product roadmaps while managing cross-functional teams and vendor relationships.

The Data Engineer will design and maintain scalable data pipelines, automate workflows, and enhance data governance while collaborating with cross-functional teams.

Lead end-to-end web and mobile analytics: design and implement tagging strategies, ensure data quality, build data pipelines and dashboards, analyze user behavior, and provide actionable insights to Product, Marketing, and Engineering stakeholders.