Top Remote Data & Analytics Jobs in Tucson, AZ

The Quantitative Analyst will develop and manage models for derivatives pricing, conduct research and data analysis, and collaborate with teams to enhance risk models, optimize balance sheet management, and support new product development in a fast-paced crypto environment.

The Principal Data Engineer will manage the analytics data architecture, engage cross-functionally, and create reliable data systems using Snowflake and Python on AWS.

The Energy Analyst II forecasts natural gas demand, develops procurement strategies, manages supply programs, and analyzes regulatory filings and data variances, while communicating with stakeholders and improving processes.

Provide advisory, oversight, and validation of governance, risk, and control activities for enterprise Data and AI governance. Support risk assessments (PSPRA, RCRA), maintain PRC libraries, advise on KRIs, collaborate with 1LOD and 2LOD partners, and prepare governance reporting and guidance.

The Senior Data Engineer will construct and optimize data pipelines, work with cross-functional teams, ensure data quality and governance, and mentor junior engineers while leading advanced analytics initiatives.

The Senior Analyst will develop and standardize BI dashboards, manage data models, and automate reporting for internal teams, ensuring data accuracy and enabling insights.

As a Sr. Data Analyst, you'll analyze financial data in structured finance, collaborate with engineering, and provide insights to clients in the industry.

As a Senior Power BI Consultant, you'll design, build, and optimize Power BI reports and dashboards, while collaborating with clients to enhance their reporting capabilities and establish data governance.

Manage a team of analysts to develop data-based solutions and tools in reporting and analytics to improve patient outcomes and drive business efficiency in healthcare.

Oversee quality assurance for variant interpretation, lead a team of scientists, ensure adherence to guidelines, and support clinical deliverables.