Top Senior Data & Analytics Jobs in Salt Lake City, UT

Build and maintain financial and operational models and dashboards linking GTM activity to pipeline and revenue. Perform scenario and variance analyses, produce executive-ready narratives, support cross-functional data integration, and drive improvements to reporting, forecasting, and analytical processes.

Lead fraud detection analytics for payment card transactions: analyze large datasets with Python and SQL, implement real-time detection strategies, support anomaly detection for coordinated fraud, refine rules and models, and communicate insights to influence stakeholders and reduce risk.

Perform root-cause operational analysis across people, process, and tools; mine ITSM data; build Tableau-based dashboards and executive-ready visualizations; collaborate cross-functionally to prioritize efficiency initiatives and present actionable recommendations to leadership.

The Senior Manager of Data Engineering will lead a team, manage data platforms, drive modernization, oversee budgets, and ensure data solutions are scalable and reliable.

Provide Oracle DBMS consulting: architect and design database solutions, optimize and write SQL, benchmark performance and present findings, use code versioning (Git/SVN), perform basic Unix/Windows administration and system monitoring. 6+ month contract in West Valley City, UT.

You will build and operate a validated data platform, ensuring data integrity, mentoring team members, and collaborating on data discoverability and queryability.

Build and maintain scalable batch and streaming ETL/ELT pipelines, data models, and data warehouse architectures. Implement orchestration, quality, governance, and monitoring. Create self-service dashboards, enable ML/AI-ready datasets and feature pipelines, optimize performance, and collaborate with cross-functional teams to deliver analytics and AI-enabled solutions for customer experience and post-sales operations.

Analyze customer support transcripts, surveys, and operational data to identify CX drivers and root causes. Integrate feedback with transactional and behavioral data, build periodic and ad-hoc reports, apply SQL, statistical analysis and scripting to automate workflows, and communicate actionable insights to cross-functional teams to improve support programs.

Lead the Sales Strategy & Analytics function to deliver reporting, KPI tracking, profitability and competitive analysis, and sales technology ownership. Partner cross-functionally to provide executive insights, optimize tools and processes, drive adoption, and develop a high-performing analytics team that improves sales productivity, profitability, and strategic decision-making.

Own and optimize data infrastructure and ETL/ELT pipelines using SSIS and Microsoft Fabric. Build and maintain SQL Server data warehouse staging, transformations, and lakehouse ingestion. Implement CI/CD, version control with GitHub, monitor pipeline health, troubleshoot data issues, document data flows, and translate stakeholder requirements into data engineering solutions that support BI reporting.

Lead development of credit and fraud strategies using data, ML models, and advanced analytics. Design A/B tests, analyze portfolio performance, conduct root-cause and ad-hoc analyses, and partner with Data Science, Product, and Engineering to implement and validate risk and fraud prevention strategies while communicating findings to stakeholders.