Top Remote Data & Analytics Jobs in Phoenix, AZ

Design and build large-scale ETL/ELT pipelines and analytical architectures on GCP. Assess, plan, and drive enterprise data and cloud migration programs, modernize legacy systems, optimize query performance, and enable scalable cloud-native solutions for clients.

Provide data-driven insights for mass tort and product liability litigation by building predictive models, financial projections, and dashboards; manage litigation portfolios, collaborate with attorneys and finance, and translate analytics into strategic recommendations to guide case valuation, settlement strategy, and practice profitability.

Develop and implement travel demand and forecasting models using traditional and big-data methods, analyze multimodal systems, translate results for clients, support project teams, and apply statistical and programming tools for transportation planning studies.

Lead extraction, mapping, cleaning, transforming, and importing complex donor and fundraising data from legacy systems into Virtuous. Use SQL and dbt to design ETL transformations, collaborate on migration strategy, work with customers and internal teams, and solve complex data structure and relationship issues to align legacy data with Virtuous CRM best practices.

Lead and manage a small team to intake, frame, prioritize, and hand off data initiatives. Translate business needs into solution blueprints, ensure alignment with architecture and governance, define KPIs, track ROI, and drive stakeholder alignment across Claims, Finance, Marketing, and Operations.

Lead a team that maintains product master data for pharmacy operations, ensuring data accuracy, performing reporting, data cleansing, cross-system synchronization, onboarding, mentoring staff, and driving SLA-based performance and process documentation.

Support EHS analytics, systems stabilization, and enablement across enterprise platforms. Develop dashboards, validate analytics, translate operational needs into data requirements, partner with data engineering, and drive governance, adoption, and process standardization.

Support design and delivery of operational, analytical, and AI-ready data products across the full lifecycle: discovery, requirements, semantic modeling, data mapping, testing, deployment, governance, data quality, documentation, and adoption. Work with stakeholders, engineers, governance and AI teams to ensure reusable, trusted datasets and semantic layers; assist UAT, lineage, metadata, and change management, and use AI-assisted tools to accelerate analysis and product design.

The Senior RCM Data Analyst leads revenue cycle analysis, oversees RCM analysts, and partners with leaders to enhance financial performance and operational efficiency. Responsibilities include developing reports and dashboards, identifying trends, and ensuring data accuracy.

Support JDA/Blue Yonder WMS, configure systems for customer implementations, test new code, and collaborate with teams for operational improvements.