Top Data & Analytics Jobs in Tucson, AZ

Lead and scale advertising analytics and tooling to optimize paid-media performance and incrementality. Build predictive and prescriptive models (forecasting, pacing, bidding, attribution), enable automation and self-service insights, and partner cross-functionally to align ad strategy with business goals while coaching a high-performing analytics team.

Collaborate with research scientists to perform applied psychometric analyses on Exact Path adaptive assessments, prepare and analyze large datasets, modify and write R code, interpret findings, update technical documentation, and design studies to improve assessment reliability, validity, and fairness.

Lead analytics strategy for channel marketing, build attribution and incrementality frameworks, run experimentation and forecasting, surface optimization insights, and grow a high-performing analytics team to improve ROI and guide investment decisions.

The Senior Data Engineer will lead BI development, enhance Power BI architecture, mentor developers, and ensure efficient delivery governance for BI projects.

As a Senior Manager, Analytics, you'll lead a team of analysts to shape experiments, define metrics, and analyze data across initiatives, contributing to data culture and AI-driven innovation.

The CPQ Analyst will automate sales processes through Salesforce CPQ, collaborating with stakeholders to implement and maintain solutions, analyze requirements, and provide support.

The Digital Strategist will lead ITA's digital engagement strategy, focusing on improving the public-facing website through design, content strategy, and user-centered principles.

Analyze contracts and forecast revenues using data analytics. Present reports to management, track reimbursement and negotiate with payers. Maintain databases and ensure data integrity.

The Senior Data Analyst will develop and maintain data pipelines, dashboards, and reports, supporting data governance and analytics across the organization.

The Senior Data Analytics Engineer will design and maintain data pipelines, optimize data models, and implement best practices for data governance and performance in a SaaS environment.