Top Data & Analytics Jobs in CO

The Business Intelligence Intern will conduct data analysis, support dashboard creation, gather requirements, and collaborate with the team to solve business challenges.

Lead Corporate Brands squads, optimizing performance marketing through analytics, directing strategic projects and fostering collaboration between teams.

The Staff Accountant will manage SEC financial reporting, compliance, and technical accounting, ensuring accuracy and integrity in reporting practices and collaborating with teams to uphold financial standards.

The Governance, Risk, and Compliance Analyst will ensure security controls are implemented, conduct vendor risk assessments, and manage security audits, collaborating with various teams within the organization.

As a Senior Analytics Engineer, you will design data models and optimize analytics pipelines, empowering stakeholders through collaboration and best practices in data governance and quality.

The Corporate Development Director will lead M&A activities, drive strategic insights, evaluate deal opportunities, and enhance collaboration across the organization. They will utilize analytical rigor, maintain relationships, and navigate complex transactions to foster Circle's growth in financial technologies.

Lead analytical projects to optimize loan portfolio and pricing strategies, develop machine learning models, and collaborate across teams to drive growth.

The Staff Data Analyst will analyze customer data to provide insights, create dashboards, report on customer health, and support decision-making for operations teams.

As a Lead NetSuite Developer, you will maintain and enhance the ERP platform, focusing on development, configuration, integrations, and ensuring data accuracy.

The Business Intelligence Developer will build scalable data models, develop KPIs, optimize BI tools, and translate insights for strategic decision-making across departments.

The Director of Analytics leads a data-driven decision-making team, collaborating across departments to generate insights and strategies, manage data scientists, and communicate results effectively.