Top Remote Analysis Reporting Jobs in Tucson, AZ

The Director of Data and Analytics will lead and grow the data function, overseeing team development, strategic execution, governance, and data integrity in a healthcare-focused environment.

The Data Migration Specialist will ensure successful data transitions from legacy systems, engage in ETL processes, and provide customer support throughout the migration journey.

The Director of Data Analytics & Business Intelligence leads analytics functions, building models and dashboards while guiding a team. Responsibilities include analytics infrastructure management, cross-functional collaboration, and driving AI/ML initiatives.

The role involves acting as a subject matter expert in Data and AI, providing technical expertise during sales processes for Azure-based solutions, and mentoring team members to enhance client experiences.

The Principal Data Engineer designs and maintains scalable data systems, evaluates new technologies, mentors junior engineers, and leads data engineering initiatives in agile environments.

The Senior Data Engineer will design and implement complex data models, collaborate on data governance, lead data initiatives, and mentor team members.

Lead legacy-to-SaaS data migrations: design and execute ETL, extract/transform/load data, validate integrity, map business workflows to target models, engage clients, document processes, support governance, and train stakeholders to ensure accurate, secure conversions.

Designs, builds, and maintains scalable ETL/ELT data pipelines and integrations. Profiles and cleanses data, creates mappings and SQL, documents metadata, monitors data quality, participates in code reviews, and collaborates with analytics, DBAs, and business partners to enable accurate analytics and data warehousing.

Lead data engineering and governance efforts for the SHARP system by analyzing business requirements, designing solutions, documenting user needs, implementing master/reference data and data quality rules using Informatica tools, and collaborating across organizational units to improve systems and reporting.

Design, build, and optimize scalable ETL/ELT data pipelines using Databricks and cloud platforms. Implement data quality checks, monitor and troubleshoot jobs, audit pipelines for compliance, and collaborate with analysts and business stakeholders to define data models and support reporting.