Top Analysis Reporting Jobs in Salt Lake City, UT

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Design, implement, and maintain BI solutions and analytics to deliver client insights. Use tools like Oracle BI, QlikView, and Spotfire, analyze complex data sets, build data pipelines, collaborate with stakeholders, manage teams, and uphold professional and technical standards to improve business performance.

Senior analytics partner supporting Credit teams: build and optimize SQL queries, use Python for advanced analysis and automation, create Power BI and SSRS reports, perform Excel deep-dives, analyze credit metrics, validate and reconcile data, communicate insights to stakeholders, support automation and mentor junior analysts while ensuring governance and regulatory compliance.

The Senior Business Operations Analyst fosters partnerships to drive data-led decisions, develop Tableau reporting, and improve operational strategies for the Collections team.

As an SEO Analyst, you will analyze data to improve SEO strategies, provide performance reports, and collaborate with teams to enhance user experiences and brand visibility.

Lead Finance Data & Analytics to build trusted data sources, governance, and analytics for Finance and cross-functional stakeholders. Manage analysts, drive data strategy and Snowflake data models, produce insights via SQL and Tableau, and deploy AI solutions to optimize finance decision-making and operations.

Design and build Toast’s enterprise analytics layer and AI-ready semantic layer in the data warehouse. Collaborate with domain teams and data engineering to implement hub-and-spoke architecture, define complex business logic in SQL, support scalability, partner with stakeholders, and provide technical mentorship.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

Partner with stakeholders to gather and document data requirements, translate needs into user stories and technical specs, perform SQL-based data analysis, source-to-target mapping, and validation, support data quality, lineage, and monitoring, serve as primary requirements contact, contribute to Agile ceremonies, assist change management and rollout, and maintain operational and client documentation.

Design and build data warehouse architecture, develop ETL/ELT pipelines, implement data governance, and partner with teams to improve data systems.