Top Senior Data & Analytics Jobs in Tucson, AZ

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Design, build, and operate end-to-end data pipelines and curated compliance datasets powering transaction monitoring, KYC/EDD, and screening. Ensure data quality, lineage, and audit readiness; partner with Compliance and Engineering to improve detection signal quality, define metrics, and deliver repeatable reporting and measurement frameworks for control effectiveness.

Lead strategic vision and execution of GitLab's data platform and analytics capabilities, focusing on AI-enabled self-service analytics and data governance.

The Senior Data Architect will design and implement data architecture strategies, integrating Oracle EBS with cloud services, overseeing data governance, and collaborating with cross-functional teams to optimize data workflows.

Develop and manage tariffs and pricing strategies across the energy portfolio. Analyze data and market trends, monitor competitors, produce insights to inform commercial decisions, lead pricing projects, improve pricing processes and tools, and collaborate with stakeholders to ensure compliant, competitive, and profitable products.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Lead IJM's global donor and audience insights by developing segmentation, motivation models, and behavioral analysis to guide marketing and fundraising strategy. Translate complex data into actionable recommendations, manage global projects and workflows, build cross-functional adoption of analytics, produce foresight and trend reports, and embed an insight-driven culture while participating in organizational spiritual formation.

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.

Own and maintain the Kepler consumer transactions feed end-to-end: ensure data accuracy, refine methodologies, implement QA frameworks, prototype enhancements, use SQL/Python/PySpark and AI tooling to automate workflows, and collaborate cross-functionally to resolve high-complexity issues for clients.

Lead analytics and data science initiatives to drive measurable business outcomes across various functions, including Underwriting and Claims. Oversee the full analytics lifecycle, foster stakeholder engagement, and mentor junior team members.