Top Entry Level Data & Analytics Jobs in Tucson, AZ

The AI Data Analytics Engineer 1 will collaborate with physicians to create synthetic conversation scripts, write and optimize Python code, analyze large datasets for AI model enhancement, and develop solutions for visualizing data trends in healthcare IT.

The Database Administrator at Instructure will manage database systems, ensuring data safety and availability while automating solutions to prevent issues. Responsibilities include driving projects to completion, working with SQL in production, responding to database problems, and providing support to both technical and non-technical staff.

The Media Analyst will execute and optimize digital marketing campaigns across platforms like Google Ads and Meta. Responsibilities include campaign management, performance optimization through analysis, creating reports, aligning strategies with client goals, and data management. The ideal candidate is detail-oriented and eager to analyze data to drive results.

Trace3 is seeking candidates to join their Data Intelligence Team. The role involves utilizing data analytics and consulting services to develop unique technology solutions for clients. Emphasizing innovation and teamwork, the company fosters a collaborative environment where employees can grow and make impactful decisions.

As a Data Scientist at Horizontal Digital, you will develop algorithms and predictive models to solve business challenges for Salesforce, enhance CRM applications, and create valuable insights through data analysis and visualization. You will design data models and manage data as a product while collaborating with various teams to deliver analytics and dashboards.

The Data Collector will administer surveys to middle and high school students, focusing on health risk behaviors. Responsibilities include data entry of participation rates, coordinating with schools, and ensuring effective survey administration. A mandatory training is required before starting.

As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.