Top Remote Data & Analytics Jobs in Phoenix, AZ

Lead the data engineering and analytics team, overseeing data processing for utility bills, building data strategies, and ensuring data quality while promoting evidence-based decision-making across the organization.

The Revenue Cycle Management Specialist will perform insurance verification, follow up on claims, handle patient balances, and ensure accurate financial documentation in a remote, entry-level position.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

This role focuses on designing and optimizing measurement strategies for marketing campaigns, analyzing effectiveness, and developing reporting tools to inform marketing decisions. It requires collaboration with stakeholders and other teams, ensuring insights drive future strategies.

The Analytics Engineer will lead data projects, collaborate with teams for insights, manage financial metrics, and ensure reporting compliance.

The Employee Survey Strategist will manage and execute employee surveys, ensure data quality, and report results to enhance organizational culture and engagement.

The Senior Analytics Manager will manage analytics reporting, insights, and analysis across teams, ensuring clarity and consistency in metrics while collaborating on performance tracking and methodologies.

As a Senior Structuring Analyst, you will model customer valuations, conduct risk assessments, and collaborate with various teams to ensure effective structuring of energy transactions for Gas South's Industrial business.

The Head of Biostatistics and Statistical Programming oversees statistical aspects of clinical trials, ensuring integrity and strategic planning in drug development. Responsibilities include leading teams, guiding analysis, mentoring, and collaborating across departments.

This role involves building and leading a data team to analyze millions of utility bills, ensuring data quality and scalability while crafting a long-term data strategy.