Top Remote Data & Analytics Jobs in Tucson, AZ

The role involves data-driven analysis, implementing machine learning and operations research methods, and collaborating with stakeholders to optimize defense systems.

The EDI Systems Analyst II collaborates with business units to manage EDI requirements, analyze processes, ensure compliance, and communicate project priorities. They lead requirement gathering sessions and improve workflows while partnering with developers.

The role involves delivering actionable business intelligence, ensuring data consistency, and collaborating with teams to drive revenue growth.

Collect, analyze, and interpret complex data; build and maintain data systems and models; create visualizations, reports, and dashboards; collaborate with cross-functional teams to inform business decisions.

Design, develop, and maintain BI solutions, dashboards, and reports. Collaborate with stakeholders, build data models and ETL processes, ensure data quality and security, and stay current with BI tools and industry trends to support business decision-making.

Execute and validate data migrations into Salesforce from multiple sources, transform and reconcile records, troubleshoot integrity issues, document steps for auditability, and support post-migration data hygiene and governance in collaboration with Operations, Analytics, and Engineering.

Design, build, and support enterprise BI solutions by aggregating data from multiple sources. Develop reports, dashboards, and ad-hoc queries (Tableau, SQL, SSIS, SSRS). Collaborate with stakeholders and data teams on requirements, data modeling, governance, and predictive analytics. Support data warehousing, documentation, and continuous improvement while ensuring compliance with privacy and background-screening requirements.

Embed clinical science into analytics and product teams to translate operational datasets into actionable protocol design, enrollment, feasibility, and risk-mitigation recommendations. Lead scientific interpretation of eligibility, enrollment modeling, site performance, and analytic model validation. Engage sponsors with deliverables and presentations and develop scalable methodologies, templates, and playbooks to support study design and product roadmap.

Own and deliver recurring and ad-hoc analytics across Marketing, Finance, and People. Build and validate SQL/dbt analyses in Snowflake, maintain dashboards, define KPIs with Data Engineering, review self-serve outputs, and perform investigative analysis to surface trends and drivers of business performance.

Lead and grow a team building scalable forecasting models and simulators for ads supply, demand, and revenue. Own technical quality, cross-functional partnerships, roadmap, and strategy to drive ad marketplace and product decisions.

The Data Engineer at Netflix builds systems for efficient data processing and modeling, collaborating with various teams to empower analytical insights and product features.

Actuarial Research Intern will develop predictive models using statistical tools, manipulate data into model-ready formats, coordinate research projects with business partners, and present findings while building communication and project-management skills.

Intern will support data pipeline development, documentation, testing, and process optimization using cloud technologies. Tasks include building and maintaining ingestion/transformation pipelines, automations for performance, participating in code reviews, QA, and presenting findings to stakeholders.