Top Senior Data & Analytics Jobs in Tucson, AZ

The Director, Product Analytics & Strategy will lead market expansion, define product strategy, analyze market opportunities, and drive cross-functional collaboration to shape product direction and company growth.

The role involves optimizing and managing Salesforce operations for various departments, driving Quote-to-Cash processes, and ensuring compliance while collaborating with other teams.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

Lead client-facing data solutioning and pre-sales efforts for Consumer verticals, design executable data architectures, support pursuit to close, and provide ~50% hands-on delivery and architectural oversight while ensuring information security and data privacy compliance.

Lead analytics work translating complex healthcare data into decision-ready insights. Own KPI definitions, Snowflake data marts with dbt, executive dashboards in QuickSight, and cross-functional analyses to inform strategy, product, and operations.

The Revenue Insights Lead transforms revenue data into actionable insights, drives operational excellence, and measures the impact of enablement programs through analytics and strategic partnerships.

The Cloud Economist will optimize financial performance in hybrid cloud environments, manage Apptio configurations, develop ROI models, and lead FinOps practices while collaborating with cross-functional teams.

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.

The Director Analyst will oversee the procure to pay lifecycle, master data management, and procurement data analytics, ensuring integrity and optimizing operations.

The Integration Engineer designs and implements data integration solutions to enable real-time insights, ensuring data quality and compliance while managing complex data architectures across domains.