Top Remote Data & Analytics Jobs in Provo, UT

Build relationships with AWS sales teams across U.S. territories, source AWS-originated opportunities, qualify customer modernization needs, articulate Mactores’ business value, and coordinate technical handoffs to forward-deployed engineers. Maintain opportunity registration in ACE, keep AWS representatives informed through deal close, attend partner events, and provide market feedback to leadership. The role focuses on qualified pipeline and revenue rather than activity volume.

Build and optimize Hipp’s analytics data platform, including production data pipelines, warehouses, schemas, dashboards, reports, and data models. Write complex SQL, monitor data quality, perform product and operational analysis, and translate business needs into technical solutions. Collaborate with product managers and data scientists to support AI and ML initiatives, deliver reliable insights, and inform product strategy.

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Leads enterprise data governance strategy, transformation, operating model modernization, accountability, and executive engagement. Partners with senior stakeholders to improve data trust, accessibility, regulatory alignment, risk management, analytics, AI readiness, and business outcomes. Represents the Data Office in strategic and regulatory forums, establishes roadmaps and performance measures, resolves cross-functional data challenges, and drives organizational change without direct authority. The role focuses on governance and transformation rather than engineering, coding, analytics delivery, or technical administration.

Leads commercial analytics and business intelligence strategy, including executive dashboards, account reporting, revenue and pricing analytics, operational KPIs, forecasting, segmentation, and predictive modeling. Partners with Sales, Finance, Marketing, Operations, and Product to improve revenue, profitability, customer retention, and marketplace performance. Presents insights to executives and customers while managing analytics teams, budgets, vendors, and BI scalability.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Lead enterprise data architecture strategy and implementation across cloud data platforms, integration ecosystems, analytics, AI, and operational systems. Design scalable lakehouse or warehouse architectures, canonical data models, governance frameworks, data products, and secure healthcare data integrations. Partner with engineering, product, analytics, AI, security, and executive stakeholders while mentoring technical teams. The role requires deep expertise in modern data platforms and integration, with healthcare or insurance experience preferred.

Designs and productionizes hybrid knowledge graph solutions for healthcare and clinical data using LPG and RDF technologies. Builds FHIR transformation and ingestion pipelines, implements ontology mappings, entity linking, identifiers, provenance, validation, and graph queries with Cypher or SPARQL. Collaborates with ontology, terminology, FHIR, clinical, and data engineering teams, while contributing to architecture reviews, code reviews, testing, and engineering best practices.

Analyzes the end-to-end digital purchasing journey across Web and App platforms. Leads A/B testing and experimentation, builds self-service reporting, measures campaign impact, identifies customer experience opportunities, and communicates insights to product, digital experience, analytics, and senior leadership stakeholders.