Top Hybrid Data & Analytics Jobs in CO

Design and build data warehouse architecture, develop ETL/ELT pipelines, implement data governance, and partner with teams to improve data systems.

Build and maintain analytics and measurement products for client-facing reporting. Analyze large behavioral and transaction datasets, produce insights and automated reports/dashboards, communicate results to stakeholders and external clients, and support cross-functional projects to tie analytics to client business objectives.

Operate as the operational lead for measurement studies with third-party partners: manage study intake, validate campaign specs, track timelines, analyze sales lift and media KPIs, present results to clients, improve data delivery processes, and work cross-functionally to ensure clean execution and actionable insights for CPG advertisers.

The Senior Business Systems Analyst will leverage ServiceNow for automation, aligning solutions with business needs, enhancing user experience and driving AI-assisted solutions.

The Staff Data Architect will enhance Jellyfish's data platform through architectural design, automation, advanced observability, and efficient data governance, while collaborating across teams.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

Lead and scale data subject rights and data lifecycle programs. Partner with Engineering/Product to design data discovery, retrieval, and deletion solutions. Build SQL queries, scripts, and dashboards; map data lineage; operationalize privacy controls; and improve tooling, automation, and reporting to ensure compliance with global privacy laws.

Design, build, and optimize BigQuery-based data solutions and data models. Manage data storage, partitioning, clustering, ETL, and data quality. Collaborate with architects, data scientists, and engineers to deliver scalable, secure cloud data infrastructure and documentation; senior hires provide technical leadership, code review, and process improvement.

The Staff Data Platform Engineer will architect the data platform, define integration patterns, establish data governance, and mentor teams across the organization while ensuring data reliability and self-service capabilities.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.