Top Data & Analytics Jobs in Salt Lake City, UT

Analyzes B2B marketing performance across campaigns and channels, builds dashboards and forecasting models, measures ROI and funnel metrics, evaluates lead and pipeline quality, supports experimentation, and presents actionable insights to guide marketing investments and partner growth.

Analyzes the RFQ-to-award pipeline, consolidates and validates business data, and develops dashboards, scorecards, forecasts, and executive reports. Evaluates win rates, proposal activity, pipeline health, revenue opportunities, and performance trends. Partners with program management, sales, engineering, estimating, and business development teams to improve data quality, standardize KPIs, automate reporting, identify process bottlenecks, and support strategic decisions.

Lead data engineering projects by designing scalable data solutions, pipelines, ETL processes, cloud-native applications, and ML-enabled analytical tools. Responsibilities include architecture design, code reviews, CI/CD, documentation, mentoring engineers, client engagement, proposal support, and collaboration with consulting teams. The role requires strong Python, SQL, cloud, big-data, orchestration, and DevOps expertise, with international client travel as needed.

Lead data engineering initiatives involving large-scale data solutions, cloud-native applications, ETL pipelines, data architectures, CI/CD, and machine learning deployment. The role includes mentoring engineers, ensuring code quality, documenting operational processes, supporting consulting teams, engaging clients, contributing to proposals, and delivering analytics solutions globally. International client travel may be required.

Supports project teams by creating maps and report figures, analyzing and processing raster and vector data, managing geospatial databases, using ArcGIS Online applications, and obtaining public spatial datasets. Responsibilities include georeferencing, digitizing, quality control, and collaborating with GIS specialists. This temporary summer internship is based in Salt Lake City, with potential hybrid work and periodic travel.

Leads causal inference studies, clinical outcomes analysis, member insights, and strategic opportunity sizing. Translates ambiguous business questions into analytical approaches, applies statistics and machine learning, establishes analytics best practices, mentors analytics professionals, and presents recommendations to executive leadership. Requires healthcare payer data expertise, advanced quantitative methods, strong SQL and Python skills, and experience with cloud data platforms and scalable analytical datasets.

Support customer implementations by preparing, formatting, validating, and migrating data and files. The role performs test migrations, reconciliations, quality assurance reviews, spreadsheet tracking, issue escalation, process documentation, and go-live support while collaborating with implementation and R&D teams. Candidates need Excel proficiency, strong attention to detail, communication, problem-solving, and the ability to work independently. SQL, SaaS, migration tools, accounting data, and software implementation experience are preferred.

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.

Leads fraud strategy through trend analysis, root-cause investigation, mitigation recommendations, and fraud-control optimization. Manages and mentors 2–5 fraud analysts, evaluates detection tools and data sources, monitors performance metrics, and communicates risk insights to leadership. Partners with Operations, Compliance, Credit, and Product teams to implement compliant fraud strategies and reduce losses while supporting growth.

Supports developmental and operational testing for military test-range systems. Coordinates instrumentation data requirements, analyzes pre-test predictions and collected data, identifies anomalies, develops basic analysis tools, presents findings, supports control-center test activities, and helps author final test products. Provides technical knowledge of electronic warfare, radio frequency, or protocols while organizing small project teams and improving testing processes.