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

As an eCommerce Media Analyst, you'll manage Amazon Advertising campaigns for multiple clients, analyze data to inform strategies, develop tools for campaign management, and provide feedback to internal teams to enhance automation and reporting.

The Senior Billing Operations Analyst will handle billing processes for Enterprise customers, manage customer relationships, provide direction on invoicing issues, and participate in month-end close activities. They will also serve as a subject matter expert in billing technologies and support various finance functions in the organization.

The Sr. SAP FICO Analyst supports the SAP S4 FICO solution and collaborates with Finance and IT teams to implement finance projects. Key responsibilities include ensuring the integrity of the SAP solution, maintaining quality standards, managing configuration and development, and facilitating workshops to gather business requirements.

As a Payments Underwriting and Fraud Analyst at Finix, you will be responsible for underwriting and onboarding SaaS companies, marketplaces, and merchants. You will also conduct transaction monitoring and fraud prevention to detect and prevent fraudulent behavior. Collaboration with cross-functional teams is key to executing the long-term strategy.

The Staff Research Scientist will develop AI technology focusing on NLP and ASR. Responsibilities include designing and implementing neural net architectures, optimizing training pipelines, and collaborating with ML engineers to enhance product capabilities based on real-world data analyses.

The Data Analyst will focus on forecasting, reporting, and dashboard creation to support CareRev's growth organization. Responsibilities include translating business needs into insights, building leadership dashboards, conducting ad hoc analyses, synthesizing complex datasets, and managing sales forecasting in collaboration with finance.

As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.