Top Analysis Reporting Jobs in Salt Lake City, UT

Join the Brex Rotational Program for 18-20 months, rotating through G&A teams, focusing on risk management, finance, and AI solutions to improve processes and efficiency while collaborating with leadership.

The Senior Business Analyst will analyze business performance, identify trends, and generate insights through data analysis and reporting. Responsibilities include developing dashboards, collaborating with leadership, and monitoring KPIs to drive operational improvements.

The role focuses on bridging business needs and IT solutions, improving processes, managing technical support, and facilitating communication between stakeholders. Requires Spanish fluency.

The Business Systems Analyst evaluates processes, analyzes requirements, manages projects, liaises with stakeholders, and develops data reports and solutions.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

The Data Engineer will build and maintain ETL/ELT pipelines, set up a data warehouse, ensure data quality, and collaborate with stakeholders to create usable datasets.

The Director, Ecommerce and Marketing Analytics leads analytics across multiple business functions, transforms data into insights, governs AI workflows, and establishes analytical standards to drive decisions and actions throughout the organization.

The Workday Integration Lead will design, implement, and manage integrations between Workday modules and other systems, ensuring data integrity and supporting operations.

Early member of the Data & Analytics team responsible for end-to-end analyses and data products. Build and maintain dbt models, semantic layers, and dashboards (Power BI). Partner with Finance, Merchandising, Marketing, Operations and others; own metric definitions, validate AI-generated SQL/dbt/Python, investigate data discrepancies, and help evolve Snowflake-based data infrastructure and governance.

The Data Engineer will design, build, and deploy scalable data solutions, optimize data flows, and implement ETL processes, leveraging various cloud platforms and technologies.