Top Entry Level Data & Analytics Jobs in Salt Lake City, UT

Prepare, clean, reconcile, and validate data in Excel and BI tools. Build and maintain Power BI reports and data models; integrate and manage data from SAP and Salesforce. Translate raw data into actionable insights, analyze trends, and collaborate with management to support data-driven decisions.

Support pricing and fleet availability decisions by analyzing pricing, fleet, and market data, preparing reports and dashboards, monitoring competitor pricing and demand, maintaining data integrity, and collaborating on revenue management initiatives.

Manage quarterly extraction of private markets data, ensure data quality and timeliness, provide front-line client support via phone/Zoom, proactively track campaign progress, document interactions to drive process improvements, and develop subject-matter expertise in private markets financial metrics.

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.

Manage customer master data: create new SAP customer accounts, link web registrations, remove duplicates, enrich and validate records using external sources, assign pricing tiers, run audits, handle daily request queues, and support data migration and system projects.

Assist with planning and reporting of sales compensation. Collaborate with various teams, maintain compensation data, and resolve inquiries.

Design, build, and maintain scalable ETL/ELT pipelines and data models to populate the data warehouse. Write reusable SQL and Python to transform data, monitor pipeline reliability and quality, enable AI workflows, collaborate with stakeholders, and drive adoption of modern data stack technologies (DBT, Iceberg, Databricks). Support data governance, observability, and security practices.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

Support building and maintaining ETL/ELT data pipelines and cloud data workflows. Work with senior engineers and cross-functional teams to implement, test, deploy, and document data processes. Continuously learn cloud technologies, SQL, and Python/PySpark, follow coding best practices, and contribute to process improvements in an Agile environment.

Organize and curate large volumes of raw information: extract key points from transcripts, maintain clean spreadsheets, curate links/resources, tag and categorize content, and follow or propose systems for information structure. Part-time remote role with initial 10 hours/week and potential to grow.