Top Senior Data & Analytics Jobs in Denver & Boulder, CO

The Senior Analyst will develop financial models, support executive planning decisions, and collaborate across teams to enhance operational strategies and metrics.

Manage and optimize the Salesforce environment for Revenue Operations, enhancing Sales, Success, and Marketing workflows through automation and data integrity.

The Data Scientist will analyze data, develop models, collaborate across teams, and support strategic projects to drive insights and growth.

The Senior Data & Reporting Analyst will design and maintain dashboards and reports using Salesforce and Power BI, analyze data trends, support operational decisions, and ensure data quality for sales performance and strategy.

The Director of Practice Intelligence is responsible for data-driven solutions to optimize service delivery and improve client outcomes, managing analytics projects from conception to implementation.

The Senior Data Engineer will maintain ChowNow's data platform, enhance data pipelines, work with data scientists, and improve data quality and accessibility, contributing to executive decision-making and business growth.

As a TMS Compliance QA Analyst IV, you'll audit TMS cases, conduct training, enhance processes, and present compliance metrics to support the AML/CFT program.

Drive IT SOX initiatives, lead assessments, create training, oversee audits, manage stakeholder relationships, and recommend solutions for compliance activities.

As a Risk Manager, you'll analyze and mitigate security risks, implement fraud defenses, and collaborate with cross-functional teams to enhance security objectives.

The role involves developing customer-facing reports, providing insights, managing analytics for health systems, and collaborating cross-functionally to enhance operational efficiency.

The Sr. Manager, BI & Analytics will lead BI efforts, develop insights, and manage a team to drive business growth through data strategies and solutions.

The Principal Data Scientist will drive data-informed product and pricing strategy through experimentation, data analysis, and collaboration with cross-functional teams to improve marketplace performance and optimize pricing.