Top Senior Analysis Reporting Jobs in Salt Lake City, UT

As Tokenization Lead, you will manage the development and integration of tokenized real-world assets on the Monad blockchain, overseeing issuer onboarding and ensuring market liquidity.

The Sr. Data Engineer will build and maintain data pipelines, develop ETL processes, and optimize data infrastructure, collaborating across teams to ensure data reliability and performance.

The Director of Business Strategy & Intelligence will lead the BI function, provide strategic growth insights, improve pipeline intelligence, and enhance executive-level reporting to drive decision-making and business growth.

The Principal Business Analyst will lead policy administration implementations, translate business requirements, analyze regulatory updates, and support scalable insurance solutions, ensuring compliance and operational efficiency.

Lead and manage data science teams to build models and drive business solutions; oversee compliance analytics and ensure data quality.

Design, build, and maintain scalable ETL/data pipelines across distributed systems. Ensure data quality, integrity, security, and high availability. Monitor and optimize pipeline performance, perform root cause analysis, document systems, collaborate with global teams, and participate in on-call rotations to support production data systems.

Lead design and delivery of a cloud-based data platform: implement CDC/streaming ingestion, modeling, transformations, cross-region DB replication, observability, governance (PII, lineage, access), and enable downstream marts while mentoring engineers and driving IaC/automation-first practices.

Lead and manage institutional research activities: supervise staff, collect and analyze quantitative and qualitative data, produce reports and dashboards, support program/course reviews, accreditation, survey design, and provide data-driven recommendations to inform institutional planning and continuous improvement.

Lead and manage a small team to intake, frame, prioritize, and hand off data initiatives. Translate business needs into solution blueprints, ensure alignment with architecture and governance, define KPIs, track ROI, and drive stakeholder alignment across Claims, Finance, Marketing, and Operations.

Lead architecture and implementation of cloud-native data platforms on Google Cloud (BigQuery). Build unified batch/streaming pipelines, enforce IaC with Terraform, implement open table formats and governance (Dataplex/Data Catalog), automate data quality/lineage, partner with analytics and product teams, and mentor data engineers.