Top Data & Analytics Jobs in Tucson, AZ

The Senior Customer and Industry Insights Analyst will analyze data trends, generate insights, publish reports, and collaborate with various departments to inform decision-making and strategy.

The AI Native, Senior Strategic Analyst will provide analytical support to drive growth through marketing and sales insights, automate reporting, and optimize business performance using AI tools.

The Data Engineer role involves designing and maintaining AWS-cloud-native data systems, developing ETL processes, optimizing data pipelines, and ensuring data security and governance in healthcare data applications.

The Business Intelligence Developer Senior Specialist will develop and optimize BI applications, ensuring data accuracy and integration with various platforms while collaborating with team members and stakeholders to deliver actionable insights.

As a Senior Data Engineer, you'll design and maintain scalable data pipelines, optimize workflows with dbt and Snowflake, and mentor teams across functions to enhance data reliability and performance.

Lead the Decision Science function, designing ML models, overseeing experimentation frameworks, and ensuring model adoption across the company, driving operational and commercial improvements.

The Head of Data & Systems will set a vision for data governance and architecture, leading teams in analytics and business systems to drive self-service and ensure data quality across Jane as the company scales, focusing on AI integration and organizational culture change.

As Senior Manager of IT Commercial Data Management, you will lead data initiatives, manage product ownership, and develop data governance strategies in collaboration with stakeholders, ensuring high data quality and analytics capabilities.

The Senior Business Intelligence Analyst will transform data into insights, design dashboards, and provide analytical support for strategic decisions, working closely with stakeholders and teams.

Design, develop, and optimize Tableau dashboards and data sources on Redshift; collaborate with data engineering (dbt) and business teams; own Tableau governance, performance tuning, documentation, training, and ensure data security compliance.