Top Remote Analysis Reporting Jobs in Salt Lake City, UT

Lead and improve reporting and automation for Client Services by building and maintaining Tableau and Power BI dashboards, automating reports and reconciliations, expanding data warehouse and API integrations, performing SQL and database analysis, managing QC and governance, and collaborating with software/IT, clients, and vendors to drive reporting improvements.

Lead complex BI projects to define KPIs, build internal and client-facing Tableau/Power BI dashboards, enforce documentation and metric consistency, perform data analysis and profiling, create BI strategy and roadmaps, mentor junior analysts, and present insights to cross-functional and executive stakeholders.

Transforms data into actionable insights for CVS Health’s Direct-to-Consumer channels. Develops reporting solutions, quality dashboards, and analytics on agent behavior, quality trends, and process opportunities. Partners with Quality Assurance, Compliance, Operations, and Vendor Management to ensure data integrity and improve performance. Supports vendor oversight, internal reporting, and quality-monitoring innovation using tools such as Excel, SQL, and NICE CXone, with a focus on Medicare sales processes.

The Innovations and AI Solutions Engineer develops and optimizes AI solutions, manages data flows, implements machine learning models, and collaborates with users on data analysis and reporting.

Designs and delivers operational reporting and analytics, identifies root causes, recommends process improvements, and supports data-driven decisions across the division. The analyst documents business requirements, methodologies, and procedures; develops analytical approaches; promotes innovation and efficiency; resolves operational issues; and collaborates with stakeholders by distributing actionable insights. The role also supports continuous improvement, project implementation, and senior-leadership presentations.

Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data.

Build and operate trusted data products, governed datasets, scalable pipelines, and platform workflows supporting analytics, AI, and business operations. Responsibilities include data quality, validation, observability, recoverability, semantic consistency, governance controls, permissions, privacy-aware access, automation, and production monitoring. The role partners with stakeholders to resolve ambiguous data needs, drives platform improvements, provides technical direction, and adopts agentic development workflows.

Reviews video annotations, action labels, and hand-pose data for accuracy, consistency, and completeness. Corrects errors using detailed quality guidelines, evaluates English-language descriptions, documents findings, and provides feedback on recurring issues. The role requires methodical visual review, precise corrections, clear written communication, and independent work in a remote environment. No prior AI experience is required.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.

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.