Top Remote Senior Level Data & Analytics Jobs in CO

The role involves partnering with finance leaders to provide analytical insights, designing frameworks, developing dashboards, and leading a high-performing analytics team while utilizing SQL and data visualization tools.

The Managing Consultant will lead project teams in Microsoft Fabric design, develop solutions, and maintain client relationships while ensuring quality and synergy across engagements.

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

The Senior Data Engineer at Unchained will design and implement data pipelines, integrate APIs, ensure data governance, and mentor team members while focusing on accuracy and security.

The Senior Analyst will provide insights to drive business growth, assess portfolio risks, and implement pricing strategies while collaborating with various teams.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.

The Senior Business Intelligence Engineer will create data models, develop insights, collaborate with teams, and ensure data quality to drive business growth.

As a Senior Statistical Programmer, you will lead SAS programming efforts, develop specifications for data models, and produce analytical reports for clinical trials while ensuring compliance with industry standards.

The Principal Credit Risk Analyst leads credit risk evaluation, monitoring, and optimization for lending portfolios, collaborating with cross-functional teams to drive informed growth and ensure compliance with regulatory standards.

As a Sr Workday Analyst, you will configure Workday for Payroll and Time Tracking, collaborate with HR, and streamline processes.

The Senior Data Analyst will lead churn analysis and customer success metrics, providing insights to improve retention strategies and customer satisfaction. Responsibilities include conducting deep-dive analyses, working with cross-functional teams, and developing predictive frameworks.