Top Data & Analytics Jobs in CO

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.

Design, build, and automate BI reporting and pipelines; analyze large datasets; create visualizations and summaries; ensure data quality; partner with stakeholders to deliver actionable insights and drive data-driven decisions.

As a Staff Product Analyst, you'll define analytics strategies, build measurement infrastructure, design experiments, and partner with product teams to boost self-serve conversion and product adoption.

Design, develop, and maintain secure, HIPAA-compliant RESTful APIs and integrations for healthcare payers. Implement FHIR and X12 EDI translation, build ETL and real-time data flows, apply payer-specific business logic, ensure auditability and interoperability, and deploy services with containerization and CI/CD in cloud environments.

The Principal Data Scientist will lead data analysis projects, collaborate with product management, assess business impacts, ensure data governance, and mentor junior analysts. Must leverage statistical techniques and machine learning to drive product strategy and business outcomes.

Lead design and implementation of data infrastructure, pipelines, and integrations using cloud platforms. Manage teams and client accounts, ensure data quality, security, and compliance, deploy scalable solutions (Databricks, Snowflake), mentor junior staff, and identify data-driven business opportunities.

The Data Engineer II will maintain CI/CD pipelines, develop AI/ML platforms, process telecom data, and optimize data storage and retrieval strategies.

As a Senior Data Operations Analyst, you'll manage and analyze data operations, ensuring quality data flows, troubleshooting processes, and collaborating with teams to enhance data integrity and reporting.

The analyst will own planning for launches, build forecasting models, partner with stakeholders, and drive data-driven decisions using AI and analytics.

Lead CX analytics strategy and operations by standardizing metrics, enabling self-service analytics, and embedding AI in the analytics lifecycle to enhance decision-making processes.