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

Leads LoanPro’s data and analytics strategy as its first BI hire. Integrates CRM, finance, product, and operations data into Domo; builds SQL queries, reports, dashboards, and visualizations; conducts exploratory analysis; translates business needs into analytics requirements; and delivers actionable insights to senior leaders. The role is primarily onsite in Farmington, Utah, with limited discretionary remote work and potential future team-building responsibilities.

Supports governance and administration of Salesforce, SAP Business ByDesign, and other business systems. Maintains data integrity through analysis, cleanup, validation, and bulk updates; troubleshoots system and integration issues; tests system builds; facilitates Agile sprint meetings; and collaborates with business and technical teams to improve workflows, data quality, and system performance.

Builds and maintains ETL/ELT data pipelines and architecture for analytics. Responsibilities include monitoring jobs, troubleshooting loads, managing tickets, discovering and ingesting data from databases, APIs, files, and third-party applications, and transforming structured and unstructured data. The role also performs data modeling, quality audits, software testing, documentation, and agile project delivery while collaborating with technical teams and stakeholders.

Rotational program for recent graduates supporting technology and analytics teams. The associate will learn through multiple rotations, build automation or improve existing workflows, create operational reporting and metrics, support controls and audits, collaborate with cross-functional partners, and complete talent development training. The role focuses on Deposit Operations for the Bread Savings program and requires strong communication, Microsoft Office proficiency, reporting skills, and workflow automation knowledge.

Design and operate end-to-end infrastructure for intracortical neural data, from ingestion and validation through preprocessing, versioned dataset releases, and training data loaders. Preserve scientific metadata and provenance while implementing signal processing, quality checks, storage optimization, parallel processing, and monitoring. Collaborate with neuroscience, machine learning, infrastructure, and IT teams to support scalable, reliable model training and sensitive research-data management.

Designs, develops, implements, and maintains business solutions for a healthcare organization. Gathers requirements, creates functional specifications and project plans, analyzes complex data, identifies trends and benchmarks, and supports process improvements. Coordinates multiple projects, reports project status, and develops analytics using tables, charts, and diagrams. May also review contracts, assess compliance and risk, and recommend contract amendments.

Conduct data analysis and AI R&D projects with the CTO, consolidating Acumatica and business-system data into reliable datasets, dashboards, reports, and automations. Investigate data quality issues, document metrics, develop scripts and lightweight applications, and evaluate emerging AI tools including LLM APIs and MCP. Support reporting, testing, troubleshooting, and occasional end-user technical assistance while communicating findings and recommendations to Operations, Sales, and Leadership.

Reviews and annotates video footage to identify traffic events and potential violations, verifies detailed incident data, follows strict confidentiality protocols, and provides feedback to improve annotation tools and processes. The role requires careful attention to detail, accurate data review, timely completion of work, and collaboration in training and team meetings. This is a full-time, on-site position in Salt Lake City with occasional overtime.

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.

Build and steward Netflix advertising quality-of-experience data, from device telemetry and instrumentation through data pipelines and dashboards. Collaborate with product engineering, data engineering, and data science teams to measure user-perceived performance, improve data quality, document user flows, and establish monitoring and measurement best practices. The role requires strong SQL and Python skills, technical communication, stakeholder management, and comfort working independently in an ambiguous environment.