Top Senior Data & Analytics Jobs in Provo, UT

Leads scalable data model and pipeline design, dbt development, testing, CI/CD, and analytics engineering implementations. Partners with analysts, engineers, and stakeholders to translate business needs into reliable models and semantic layers. Advises on data architecture, governance, quality, performance, and long-term scalability while mentoring peers and contributing to shared tooling, standards, and frameworks.

Develops and supports data architecture and medical imaging informatics solutions on the XNAT platform. Responsibilities include data integration, modeling, storage and delivery optimization, data-sharing, coding, testing, release management, defect reduction, technical documentation, and partner support. The role collaborates with research and clinical teams, oversees stable XNAT releases, and advances platform capabilities. Required qualifications include a bachelor’s degree or equivalent experience, five years of data-related experience, and PostgreSQL skills.

Leads complex analytics initiatives and partners with business leaders to define problems, analyze pharmacy, sales, and operational data, and develop actionable recommendations. Manages engagements across the full analytics lifecycle, from discovery through solution delivery and implementation support. Designs metrics, dashboards, frameworks, and decision-support tools while communicating insights to executive, operational, and technical audiences. The role emphasizes consultative analytics and business problem solving rather than software development or data infrastructure engineering.

Develops and maintains end-to-end BI dashboards, reporting, and analytics solutions. Partners with leaders to define KPIs, optimize SQL and BI models, ensure data accuracy and governance, and support regulatory reporting. Uses healthcare data to deliver actionable insights, improve processes, and guide strategic decisions. Advises senior leadership through clear, data-driven communication while working with complex datasets and cross-functional teams.

Designs, develops, and maintains ETL/ELT pipelines connecting SAP and other financial source systems to an enterprise budgeting and forecasting platform. Responsibilities include source-system analysis, data mapping and transformation, CDS view and SQL development, data quality validation, reconciliation, troubleshooting, performance tuning, documentation, and collaboration with technical and client stakeholders. The role requires strong SAP data integration expertise, financial data knowledge, and the ability to obtain a Public Trust clearance.

Design, develop, and maintain ETL/ELT pipelines connecting financial source systems such as SAP ERP, General Ledger, and HR systems to a budgeting and forecasting platform. Responsibilities include source-system analysis, data mapping and transformation, CDS and SQL development, data quality validation, troubleshooting, performance tuning, documentation, and collaboration with technical and client stakeholders. The role requires expertise in SAP platforms, financial data structures, reporting, and data integration.

Designs, develops, and maintains ETL/ELT pipelines connecting financial source systems such as SAP and HR systems to budgeting and forecasting platforms. Responsibilities include source-system analysis, data mapping and transformation, CDS views and SQL development, data quality assurance, reconciliation, performance tuning, troubleshooting, documentation, and collaboration with technical and client stakeholders.

The Business Analyst gathers and prioritizes business requirements, supports technology platform design and implementation, maintains process and stakeholder knowledge, conducts software testing and quality assurance, assists with project planning, and trains end users. The role collaborates with vendors, IT, operations, underwriting, and distribution teams to align technology solutions with business needs, KPIs, and the organization’s technology roadmap.

Designs and manages Qualtrics in-product intercept surveys, targeting workflows, directories, and data collection. Analyzes user behavior, product performance, and survey feedback; builds dashboards and communicates actionable insights to product, UX, and leadership teams. Collaborates with qualitative researchers, data engineering, and development teams to integrate survey data with behavioral analytics platforms and enable access to behavioral datasets across B2B and B2C products.

Leads customer and marketing analytics strategy, managing a small analytics team and partnering with executives to improve acquisition, retention, engagement, conversion, and customer experience. Develops KPIs, scorecards, journey reporting, cohort analyses, campaign measurement, segmentation, and A/B testing programs. Oversees scalable analytics frameworks, data quality, governance, architecture, and integration across customer touchpoints. Applies advanced analytics and predictive modeling to deliver actionable insights and presents recommendations to senior leadership and board-level audiences.

Build and manage scalable ETL/ELT pipelines using Microsoft Fabric and Azure Databricks, implement medallion architecture, support data migrations and legacy SSRS decommissioning, develop Power BI data models, and maintain governance, security, and CI/CD practices. The role also supports migration events and modernizes data infrastructure for advanced analytics and reporting.

Administer enterprise Oracle and SQL Server databases, ensuring availability, performance, security, backup and disaster recovery readiness. Design and maintain databases, configure access methods, troubleshoot systems, support high-availability clusters, perform capacity planning, and manage data governance documentation. Provide reporting and analytics support, stakeholder coordination, application connectivity assistance, and local or remote maintenance across multiple locations. The role also includes technical leadership, database programming support, continuity planning, and issue triage.

Manages corporate real estate spatial data, CAD drawings, CAFM systems, space allocation models, reporting, data governance, and system administration. Supports project management, occupancy planning, and move management by maintaining accurate as-built drawings, monitoring space data, establishing global standards, coordinating system integrations, training users, and recommending process improvements. Requires expertise in CAD/CAFM, drafting, space planning, and corporate real estate data management.