Top Remote Analysis Reporting Jobs in Provo, UT

As a Senior BI Data Analyst, you'll analyze complex datasets, build SQL queries, develop predictive models, and create dashboards to drive insights and recommendations.

The Principal Data Engineer will lead data governance, architecture, and team development to unify data across systems while ensuring quality and compliance. Responsibilities include building data pipelines, establishing governance frameworks, and collaborating with cross-functional teams to drive data-driven insights and operational efficiencies.

The Performance Management Analyst will provide insights through data analysis, support operational reporting, and collaborate with stakeholders in the healthcare field.

Lead and scale the Analytics and Data Science functions, empowering teams to deliver insights that drive business outcomes and foster a data-driven culture.

Design, architect, and deliver services for Ensemble's products while collaborating with cross-functional teams and mentoring junior engineers.

The Senior Analytics Engineer designs and maintains analytics-ready data models, manages SQL-based transformations, partners with stakeholders, and ensures data quality for reporting and decision-making.

Lead the design and delivery of enterprise-scale knowledge graph solutions for the U.S. Government, focusing on architecture, operationalization, and integration of complex data systems.

As a UX Research Intern, you will assist in user research, data collection, and analysis to improve product experiences for children.

Design and maintain cloud data lake architecture, build ingestion and transformation pipelines from SaaS sources, enable analytics and BI (Tableau/Looker), enforce governance, and lead technical direction across teams.

The Business Analyst collaborates with teams to identify needs, gather requirements, improve operations, and ensure IT solutions align with business objectives, especially within the healthcare industry.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.