We are looking for a detail-focused Data Analyst to join a long-term contract opportunity based in Salt Lake City, Utah. This role supports finance and business data operations by improving the quality, accuracy, and completeness of critical customer and vendor information. The ideal candidate brings hands-on experience with financial records, strong Excel skills, and the ability to work across teams to keep large data sets organized, validated, and ready for business use.<br><br>Responsibilities:<br>• Review, validate, and refine customer, vendor, and finance-related records to maintain accurate and reliable master data.<br>• Analyze large data sets in Excel to identify discrepancies, compare source information, and resolve data quality issues.<br>• Partner with finance, procurement, and other business teams to gather missing details and clarify record inconsistencies.<br>• Prepare structured data files and supporting documentation for system-related projects, testing activities, and ongoing governance needs.<br>• Maintain clear audit trails by documenting updates, decisions, and data handling steps throughout the project lifecycle.<br>• Support high-volume record management while meeting established timelines in a fast-paced project environment.<br>• Monitor data compliance standards and help ensure records align with internal controls and documentation requirements.<br>• Assist with project activities related to data conversion and validation as part of broader business transformation efforts.
We are looking for a Data Engineer to join our team in Salt Lake City, Utah and help build reliable, scalable data solutions that support key business initiatives. This role is ideal for someone who combines strong hands-on engineering ability with sound technical judgment and can guide decisions across architecture, delivery, and system improvement. The right candidate brings experience working with modern cloud services, data modeling practices, and collaborative development environments while communicating effectively with both technical and business partners.<br><br>Responsibilities:<br>• Lead the technical direction for a core data domain, making thoughtful architecture decisions that support scalability, reliability, and long-term maintainability.<br>• Design, build, and enhance data pipelines and platform components using Python, SQL, DBT, and cloud-based services within AWS environments.<br>• Develop data models aligned with Kimball methodology to support analytics, reporting, and downstream business use cases.<br>• Break large initiatives into clear technical workstreams, estimate effort, and drive execution against timelines while monitoring progress and addressing delivery risks.<br>• Work closely with cross-functional partners to convert business goals into practical data solutions and provide guidance on technical tradeoffs.<br>• Establish and reinforce engineering standards through code reviews, design discussions, and implementation of best practices for quality and performance.<br>• Identify areas of technical debt, prioritize remediation efforts, and balance platform stability with the delivery of new capabilities.<br>• Implement monitoring, alerting, and maintenance strategies that improve system health, data reliability, and operational visibility.<br>• Assess emerging tools and approaches to recommend improvements that strengthen system efficiency, searchability, and maintainability.