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

Lead technical strategy for commercial data governance, data risk management, and reliability of data-driven workloads. Provide architecture, design, development, and testing leadership while mentoring engineers and driving technical decisions. Partner with stakeholders to scale governance practices, improve delivery processes, and build trusted data solutions using cloud platforms, Spark, Python, SQL, and data-lakehouse architectures.

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.

Analyzes business and customer requirements to define metrics, measurement frameworks, and scalable Tableau dashboards. Partners with stakeholders across life sciences, healthcare, and sales organizations to deliver consistent, data-driven insights. Documents BI standards, ensures metric accuracy and security compliance, demonstrates expertise in relevant data sources, and manages dashboard requests through a Jira backlog while meeting delivery timelines.

The Data and Visual News Associate develops multimedia and data-driven journalism during a two-year newsroom rotation. Responsibilities include investigative reporting using OSINT, geolocation, satellite imagery and metadata; producing interactives, maps, charts and visual stories; analyzing audience data; experimenting with AI-powered reporting workflows; and collaborating with graphics, data and innovation teams. The role requires a technical portfolio, data analysis and visualization skills, digital evidence verification experience, and proficiency with Adobe Illustrator, HTML and CSS.

Design and operationalize governed enterprise data platforms, data products, data contracts, lakehouse systems, and streaming pipelines. Establish authoritative data sources across CRM, MDM, and ERP systems, lead CX transformation architecture, deliver production data models and pipelines, advise enterprise customers on modern data architectures, and productize validated internal and field innovations into scalable customer offerings.

Build and scale governance-as-code across enterprise data systems, automating policy enforcement, sensitivity classification, access controls, data contracts, and compliance verification. Partner with architecture, security, privacy, legal, and engineering teams to protect data integrity and support AI adoption. Apply internal governance practices to customer advisory engagements, including maturity assessments, executive workshops, and guidance on AI-era data risk.

Build and maintain recurring sales and partner performance reporting, dashboards, scorecards, and forecast analyses. Identify trends, variances, risks, opportunities, and data-quality issues across pipeline, bookings, territories, accounts, and partner activity. Document KPI logic, assumptions, and data lineage while translating business requirements into reliable analytical products. Provide fact-based insights, scenario modeling, executive exhibits, and decision support without owning business commitments or cross-functional program accountability.

Part-time Database Administrator responsible for maintaining client CRM data, manipulating datasets, processing receipts, building Excel reports, analyzing information, visualizing findings, and establishing KPIs. The role requires advanced Excel skills, strong attention to detail, independent problem-solving, and familiarity with nonprofit CRM systems. The position requires at least 10–15 hours weekly and is performed as a contractor.

Performs remote data entry and administrative support by entering, updating, verifying, and organizing information in digital databases and electronic records. Maintains spreadsheets, reviews documents for accuracy, identifies discrepancies, protects confidential information, responds to update requests, and completes assigned projects on schedule while communicating progress to supervisors.

Owns specialty pharmacy data-partner specification negotiations, data mapping, Ascend platform configuration, internal QA, defect resolution, and UAT readiness across multiple implementations. The role evaluates standard versus custom data requirements, coordinates with delivery, engagement, product, and engineering teams, maintains data dictionaries and implementation documentation, supports schema normalization, and develops repeatable testing and onboarding processes. It is primarily remote with occasional travel.

Leads the migration of legacy data warehouses and pipelines to an Azure and Databricks lakehouse. Defines technical architecture, reusable Azure Data Factory and Databricks pipelines, reconciliation methods, quality gates, and performance solutions. Mentors data engineers, reviews technical work, and collaborates with product, QA, platform, and customers in a remote Agile environment.