Top Data & Analytics Jobs in CO

Lead the enterprise data platform strategy and architecture, driving Snowflake/dbt-based platform evolution, self-service Data Mesh and medallion models. Build AI-ready pipelines, RAG systems, and observability/cost frameworks while managing a central data team, supporting federated BI, and executing hands-on technical work.

Lead and mentor a team of decision scientists to drive product strategy through analytics, experimentation, and measurement. Partner with product leads to prioritize initiatives, oversee end-to-end analytics projects, ensure statistical rigor in A/B testing, maintain event tracking quality, and deliver actionable insights using Databricks, Airflow, Python/R, Looker, and AI tooling.

Lead architecture and implementation of scalable batch and streaming ETL/ELT pipelines, data services, and graph-serving models for Observability & Insights. Own technical strategy, drive performance and cost improvements, enforce data governance and observability, lead cross-team initiatives, participate in on-call and incident follow-through, and partner with product and engineering to deliver low-latency graph exploration at extreme scale.

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.

Use advanced analytics and ML to design and monitor credit risk models, optimize underwriting and credit strategies, partner with Engineering/Product/Compliance, oversee portfolio performance and regulatory alignment, and lead cross-functional initiatives to balance growth, compliance, and risk mitigation.

Design, develop, and support large-scale big data platforms and ETL pipelines using Java, Spark, Hadoop, Kafka and related tooling. Build end-to-end data services, troubleshoot production issues, perform data quality and performance tuning, and collaborate across teams to deliver data for reporting and analytics.

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.

Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, use Databricks, Airflow, and Hadoop, and collaborate with clients to deliver actionable insights.

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 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.