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

The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

Design, build, and optimize Snowflake-based data platform: develop ELT pipelines, data models, governance, security, performance tuning, cost optimization, CI/CD, and advanced Snowflake features. Collaborate with stakeholders, mentor engineers, and deliver scalable data solutions for analytics.

Design and build data warehouse architecture, develop ETL/ELT pipelines, implement data governance, and partner with teams to improve data systems.

Lead design, build, automation, and maintenance of enterprise reports, dashboards, and Alteryx workflows. Analyze operational and transactional data, produce executive summaries, recommend metrics and process improvements, and own a report portfolio while partnering with stakeholders to drive data-informed decisions.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

The Lead Business Analyst will manage multiple analytical workstreams, interpret financial statements, lead teams, and communicate insights to stakeholders.

The Senior Business Analyst will manage analytical workstreams and provide insights by leveraging SQL and Excel, guiding junior analysts, and connecting data to operational performance in manufacturing.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

Lead data analyst responsible for extracting, processing, analyzing, and reporting data to produce actionable insights. Build reports and visualizations, perform ad hoc analyses and forecasting, define data models and standards, collaborate with Data Engineering and cross-functional partners, improve data quality, document assets, and mentor team members to support strategic planning and operational excellence.