Top Analytics Jobs in Salt Lake City, UT

Develop and maintain data solutions for insights on workforce metrics, manage data pipelines, and collaborate on analytical strategies for HR initiatives.

The Data Analytics Engineer will develop data models, create dashboards, maintain data pipelines, and collaborate with various teams to improve analytics practices.

Oversee customer reporting and analytics at Omada Health by leading a team, developing strategies, and collaborating across functions to deliver insights.

The role involves managing consumer insights through data analysis, market research, and collaborative strategies to drive brand growth and innovation.

As a Senior Data Analyst in Marketing, you will analyze marketing data, track performance trends, develop models, and communicate recommendations to support strategic decisions.

The Quant Analytics Lead Associate develops and validates predictive models using statistics and machine learning techniques, conducts quantitative analyses, and communicates insights to stakeholders.

The Actuary analyzes financial data to forecast performance, ensures data integrity, advises on strategies, and supports business intelligence needs.

Manage and mentor a team of analysts and data scientists, develop analytics strategies, own analytics projects, and promote data-driven culture.

The Client Analytics Manager will manage client relationships, oversee data integration processes, coordinate between teams, and deliver analytics reports.

The Lead People Analytics Consultant will translate workforce data into insights, manage client relationships, and develop analytical solutions to aid workforce strategies.

The People Analytics Partner collaborates with HR and business leaders to provide data-driven insights and recommendations for talent decisions and survey strategies.

The Enterprise Performance Analytics Engineer builds and maintains data pipelines and models, ensuring data quality and efficient reporting for analytics teams.

The Product Analytics Scientist will analyze user behavior, design A/B tests, define KPIs, build dashboards, and optimize marketing strategies using data insights.

The Actuary analyzes and forecasts data to provide insights for strategic decisions, ensuring data integrity and advising executives on functional strategies.

Lead AI and data initiatives to enhance marketing capabilities and drive growth. Collaborate across teams to optimize data usage for better performance and decision-making.

The Data Analytics Associate will analyze healthcare data, manage research projects, and support customer engagements using analytics tools to drive insights.

As an Analytics Engineer, you will enhance the data stack, create self-serve analytics, integrate sources into BigQuery, and develop dashboards with strategic insights.

The role involves leading risk management functions, developing data controls, facilitating communication with stakeholders, and ensuring compliance with regulations in data and analytics management.

The Staff, Advanced Analytics role involves driving data-driven decisions through analysis, statistical modeling, and metrics development to improve the customer journey at Airbnb.

The Business Analyst will build scalable financial models, conduct complex data analyses, and provide data-driven insights for strategic planning and decision-making.

Design and implement data solutions using Databricks and Python, develop data models and pipelines, and support Audit Analytics for a Federal customer.

Lead the analytics strategy and execution, manage a high-performing team, and drive insights for decision-making across the company.

The Revenue Analytics Associate will analyze revenue data, present findings to leadership, and drive insights to improve sales strategies.

The Sr. Director will lead healthcare analytics and employer decision-making solutions, manage client delivery teams, and ensure engagement and profitability targets are exceeded.

The Data Analytics Lead will manage a team of analysts, oversee analytics projects, drive BI tool adoption, and ensure delivery of actionable insights using a modern data stack.