Top Analysis Reporting Jobs in Salt Lake City, UT

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Quantitative Researchers at Xantium analyze financial datasets, develop quantitative trading models, and support trading operations. They collaborate with senior staff and enhance their research skills, primarily in mathematics and statistics.

The eDiscovery Project Analyst will manage eDiscovery projects, coordinate with stakeholders, perform data processing, maintain documentation, and provide technical support.

The Product Analyst will conduct data analysis, identify trends, and communicate insights to support product-driven decisions, ultimately driving revenue for partners.

The VP of Credit & Business Intelligence will manage credit policy, analytics, and oversee AI/ML models to enhance small business financing. Responsibilities include risk management, KPI development, and collaboration across teams to optimize decision-making processes.

The Analytics Engineer will design data models, maintain analytics pipelines, document data governance, and partner with stakeholders to address data needs.

Work with operations, IT, and client teams to manage business applications, schedules, SFTP accounts, and automated reports. Perform data imports/exports, cleansing, QA reporting, trend analysis, and process improvements while maintaining client communication and meeting productivity goals.

Design, develop, and maintain data pipelines and workflows; perform integration, transformation, and cleaning; translate business requirements into technical solutions; support and troubleshoot 100+ pipelines; participate in code reviews, documentation, and stakeholder support while ensuring healthcare data privacy and security compliance.

Analyze business performance, provide insights, improve processes, participate in continuous improvement projects, and collaborate with cross-functional teams.

The Sr Analyst will analyze and integrate datasets to support commercial strategy, providing tools and insights to leadership teams through data visualization and modeling.

Analyze customer implementation and product usage to identify drivers of adoption, retention, and expansion. Build dashboards, quantify configuration and workflow impacts, surface deployment friction, and partner with Product, Sales, and Customer Success to create evidence-based playbooks and metrics that inform roadmap and go-to-market strategies.

Develop and maintain Python-based data applications and pipelines: fetch data from databases/APIs/files, build Pandas DataFrames/NumPy arrays, write complex SQL and data transformations, handle nested JSON, and collaborate with data science teams to deliver production data platforms.

Remote entry-level Big Data Engineer role building data acquisition and munging pipelines. Requires strong Python3 (NumPy, Pandas), advanced SQL, scalable algorithm and data-structure implementation on distributed clusters, converting code to functional paradigms, and the ability to learn PySpark or Kafka quickly. Product-development, startup experience and real-world pipeline projects preferred.