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

Design, build, and maintain cloud-native, low-latency data pipelines and streaming solutions (Kafka, Spark, Flink) for telecom telemetry. Support observability, CI/CD, and IaC (Terraform/CloudFormation), mentor junior engineers, and enable near-real-time AI analytics and large-scale data integration for network visibility and reliability.

Lead design, build, automation, and maintenance of enterprise reports, dashboards, and Alteryx workflows. Analyze operational and transactional data, produce executive summaries, recommend metrics and process improvements, and own a report portfolio while partnering with stakeholders to drive data-informed decisions.

The EIR Analyst conducts rigorous evaluation and research using the Colorado All Payer Claims Database, translating findings into actionable insights to improve healthcare in Colorado through innovation and data-driven solutions.

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

Lead design and implementation of an enterprise Databricks lakehouse, build scalable batch and streaming pipelines, enforce governance and CI/CD standards, optimize Spark workloads, operationalize ML with MLflow, manage cloud infrastructure and IaC, and mentor data engineering teams.

The Senior Portfolio Lead will oversee data management services for clients, ensuring quality deliverables, strategic oversight, and optimal clinical data flows, while leading cross-functional teams and managing complex client relationships.

As the Capital Markets Manager, you will secure funding through securitization programs, manage partnerships, and lead structured finance negotiations while mentoring your team.

As a Staff Analytics Engineer, you'll lead analytics architecture, ensure data quality, collaborate with stakeholders, and drive AI-powered data insights for business decision-making.

The role involves leading Quote-to-Revenue processes, mentoring junior team members, and ensuring quality deliverables in finance systems and billing operations.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.