Top Remote Data & Analytics Jobs in Salt Lake City, UT

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

As a Senior Commercial Insurance Analyst, you'll perform complex analyses on data to drive business performance and risk outcomes. You'll collaborate with various teams, generate actionable insights, and mentor junior analysts, all while fostering a data-driven culture and improving operational efficiency.

Leads the design, development, and maintenance of scalable cloud data pipelines, warehouses, models, and analytical data products. Uses GCP services, SQL, Python, and modern data engineering tools to ingest, transform, govern, and optimize data. Partners with business, product, IT, and analytics stakeholders to translate requirements into solutions, ensures data quality and compliance, monitors delivery, and mentors data engineers.

Analyze and document claim and encounter data, write complex SQL queries and reports, perform root-cause analysis, support system enhancements, execute test scripts, and collaborate with stakeholders to deliver data-driven solutions for healthcare claims/encounters.

Leads analytics for B2B sales, partnerships, revenue operations, and marketing teams. Responsibilities include forecasting, opportunity sizing, partner performance analysis, enterprise market intelligence, RFP analytics, lead scoring, funnel and lifecycle optimization, predictive modeling, experimentation, and executive insight generation. The role partners with Data Science and Engineering teams to improve revenue growth, onboarding, retention, campaign effectiveness, and sales performance across enterprise and SMB channels.

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

Lead and improve reporting and automation for Client Services by building and maintaining Tableau and Power BI dashboards, automating reports and reconciliations, expanding data warehouse and API integrations, performing SQL and database analysis, managing QC and governance, and collaborating with software/IT, clients, and vendors to drive reporting improvements.

Lead complex BI projects to define KPIs, build internal and client-facing Tableau/Power BI dashboards, enforce documentation and metric consistency, perform data analysis and profiling, create BI strategy and roadmaps, mentor junior analysts, and present insights to cross-functional and executive stakeholders.

The Innovations and AI Solutions Engineer develops and optimizes AI solutions, manages data flows, implements machine learning models, and collaborates with users on data analysis and reporting.

Leads the vision, architecture, strategy, and execution of enterprise data platforms supporting scalable analytics and AI initiatives. Oversees modern data technologies, production reliability, FinOps, governance, architecture standards, and cross-functional delivery. Builds and mentors engineering teams, communicates with executives, evaluates third-party technologies, resolves critical production issues, and drives continuous improvement. The role is remote with occasional planned travel to the Southfield, Michigan office.