Top Remote Data & Analytics Jobs in Provo, UT

Lead enterprise-wide data architecture strategy and delivery, including data modeling, integration, governance, security, and cloud platform adoption. Partner with executives and business units to align data roadmaps, evaluate emerging technologies (including Gen-AI), mentor architecture and engineering teams, and ensure scalable, secure, high-performance data solutions across the organization.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

This role involves writing user stories, supporting agile team processes, and driving customer discovery to enhance technology solutions for clients.

Embedded, senior technical engineer who designs and builds AI-ready, cloud-native data architectures using Alteryx One and major cloud data platforms. Convert analytics workflows into production solution patterns, deliver pilots-to-production quickly, enable partner-led delivery, and create documentation and playbooks for scalable deployments.

The role involves designing and owning the architecture of a workforce intelligence platform on Snowflake, leading architectural decisions, and ensuring compliance for a Marketplace listing.

The Product Scientist will manage client relationships and analytics for MLB and NCAA teams, validate model outputs, support sales, and enhance the platform with insights.

As a Senior Data Scientist, you will develop machine learning models, optimize deployment processes, and collaborate with cross-functional teams to enhance clinical AI workflows.

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

The Senior Manager is responsible for global forecasting processes, enhancing predictive analytics, providing commercial insights, and improving revenue performance through data-driven decision support and collaboration with cross-functional teams.

The Principal Data Engineer will lead data architecture initiatives, design scalable data systems, and oversee data standards across teams while ensuring high-quality data infrastructure and guiding engineering teams.