Top Data & Analytics Jobs in Tucson, AZ

Lead definition and evolution of cloud data architecture and analytics platform using a lakehouse approach. Design secure, scalable AWS data platforms, medallion data layers, data modeling standards, ETL/ELT and streaming pipelines, governance, observability, and AI/ML enablement. Drive tool selection, cross-team architecture reviews, mentor engineers, and enforce data security, compliance, and operational excellence across the organization.

Serve as primary DBA SME bridging on-premises SQL Server to Microsoft Fabric. Design hybrid database architectures, implement cloud-based SQL services, establish Data Operations processes and SLAs, manage data integration, security controls, performance tuning, monitoring, and disaster recovery to support analytics and AI workloads.

Lead AI enablement and reporting for Workday HCM: define AI strategy, partner with HR stakeholders, architect automation use cases, build scalable reports and dashboards (Custom Reports, Discovery Boards, Prism Analytics), evaluate emerging AI tools, and provide Workday solution architecture and analytics expertise.

The role oversees analytical characterization and comparability studies for biologics, ensuring regulatory compliance and leadership in product development.

The Forward Deployed Data Engineer will manage AI-automated data platform migration projects, ensuring timely delivery and communication with clients while utilizing proprietary tools.

The Senior Clinical Database Programmer leads the design and development of case report forms and manages studies using clinical data management systems, ensuring compliance with standards and regulations.

The Director of Data Platforms & Governance will define the strategy and architecture for a data platform, lead the data platforms team, and ensure data governance and integration with enterprise systems.

The Senior Analytics Engineer will build and maintain data foundations for corporate reporting, translating business requirements into data models, ensuring consistent metric definitions and investigating data discrepancies for reliable reporting.

Manage and grow a data engineering team, overseeing the design and maintenance of data platforms using Snowflake, dbt, and Azure. Drive best practices in data management and ensure reliable data movement and quality.

The Data Engineering Manager will lead a team, driving technical growth, fostering collaboration, and ensuring effective data architecture and systems.