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

Design and implement analytics solutions and platforms for healthcare payers using Databricks and dbt; analyze complex problems, mentor junior staff, maintain high deliverable standards, and collaborate with healthcare experts and data scientists to drive client-facing innovation.

Lead design and delivery of enterprise Product Information Management solutions, manage product data lifecycle, drive data quality and integration, mentor team members, support business development and client engagement, and improve processes and deliverable quality.

Lead design and implementation of enterprise Product Information Management (PIM) solutions, ensure product data quality and integration, drive business development and client engagement, mentor team members, improve processes and productivity, and align product data management with organizational objectives.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

The Technology Governance Automation Engineer enhances compliance and governance processes through automation, data analysis, and collaboration with various teams to ensure efficient and auditable operations.

Analyze user behavior data to identify friction points, recommend changes for conversion optimization, and collaborate with teams to improve user flows through data-driven insights.

Lead and scale a casino analytics team to drive data-informed strategy, experimentation, and reporting. Partner with product, data science, and operations to deliver executive insights, build analytical frameworks, and develop high-performing analysts to unlock growth and operational efficiency.

Design and own end-to-end data models and dbt transformations on BigQuery, maintain the semantic layer in Lightdash, govern metrics, enable AI-assisted analytics workflows, partner with stakeholders to deliver trusted reporting, and lead data modeling standards, testing, and documentation.

Lead architecture and reliability of the data platform, build and harden ingestion (batch and CDC), own BigQuery+dbt transformations, establish testing/observability/governance, mentor engineers, develop Python tooling and APIs, run POCs for lakehouse/open table formats, and define AI-assisted development practices.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.

Design, build, and operate large-scale data platforms and Spark/PySpark pipelines. Enable data integration, modeling, quality, and observability. Build MCP servers and AI-augmented tooling, mentor engineers, and lead cross-functional projects to deliver reliable data products.

As a Staff Product Analyst, you'll define analytics strategies, build measurement infrastructure, design experiments, and partner with product teams to boost self-serve conversion and product adoption.

The role involves architecting and improving data systems, defining governance standards, optimizing performance, and mentoring engineers in data engineering.