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

Designs, implements, and supports enterprise data warehouses, data marts, operational data stores, ETL frameworks, and data integration solutions. Responsibilities include source analysis, data profiling, pipeline development, data mapping, transformation design, architecture documentation, testing, quality validation, deployment coordination, performance optimization, and regulatory compliance. The role collaborates with architects, business users, operations teams, and cross-functional partners while using Talend and cloud, big data, database, and scheduling technologies.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Drives data collection, analysis, KPI reporting, dashboard development, forecasting, and executive presentations. Builds standardized reporting processes, improves data quality, investigates metric fluctuations, and translates business requirements into actionable insights. Collaborates with cross-functional teams, leadership, vendors, and partners to prioritize information needs, maintain data integrity, automate reporting, and communicate findings effectively.

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.

Performs complex commercial insurance data analysis, develops business recommendations, improves reporting processes, communicates insights to partners and senior management, and supports strategic initiatives. The role requires strong statistical, analytical, coding, and data visualization skills, along with insurance knowledge, cross-functional collaboration, mentorship, and occasional travel.

Designs, develops, tests, and maintains reports, analytical models, programs, and documentation supporting health plan operations. Uses SQL, ETL, reporting, and database technologies to translate business requirements into data-driven solutions. Manages analytical workspaces, resolves cross-departmental issues, participates in peer reviews, and mentors team members and business partners.

Leads and develops a team of data analysts supporting academic and institutional stakeholders. Translates business needs into analytics solutions, oversees complex initiatives, and delivers dashboards, forecasts, reports, and insights. Partners with data engineering teams to improve data sources and pipelines, communicates findings through visualization and storytelling, and supports KPI development, data literacy, governance, and student-outcome improvement.

Lead digital analytics and measurement strategy for web and mobile, design and implement scalable measurement solutions (Adobe stack), build data layers and event schemas, implement JavaScript-based tracking, ensure data quality, analyze A/B tests, and partner with Product, Engineering, Marketing, and Data teams to drive actionable insights and improvements.