Top Remote Data & Analytics Jobs in Provo, UT

The Senior Data Engineer will design and optimize data platforms, manage data pipelines, data modeling, and collaborate with teams to drive data solutions and governance practices.

The Revenue Data & Insights Analyst role involves building and optimizing sales reporting, managing pipeline processes, providing actionable insights, and maintaining data quality to support sales strategy.

The Analytics Engineer will manage data transformation and modeling, ensuring data integrity for analysis and machine learning, collaborating across teams, and optimizing data processes.

The Data Engineer is responsible for building ELT pipelines, migrating data to a new EDW, developing data observability processes, and collaborating with teams to ensure data requirements are met while improving data accessibility.

The Lead Data Engineer drives enterprise-scale data solutions, oversees project scoping, and leads a team, ensuring best practices in data engineering.

The Associate Actuary analyzes financial and economic data for strategic decisions, ensures data integrity, and supports business intelligence efforts.

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

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

The IT Technical Writer creates and maintains documentation for IT services, translating technical processes into clear materials, and collaborating with various teams for improvements.

The Senior Statistical Programmer Consultant will manage programming tasks for clinical trials, oversee deliverables, and validate datasets while ensuring compliance with industry standards.

The Clinical R Programmer Consultant develops SDTM and ADaM datasets using R, supports clinical trial deliverables, ensures regulatory compliance, and collaborates with teams to analyze clinical data.