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

Design, implement, and maintain BI solutions and analytics to deliver client insights. Use tools like Oracle BI, QlikView, and Spotfire, analyze complex data sets, build data pipelines, collaborate with stakeholders, manage teams, and uphold professional and technical standards to improve business performance.

Lead BI initiatives and client accounts to deliver strategic insights. Design and implement BI and cloud analytics solutions, validate data integrity and compliance, optimize data utilization, mentor teams, manage project planning/budgeting, and drive continuous improvement.

Lead data-driven initiatives and develop business intelligence and cloud analytics solutions to drive client decision-making. Manage and mentor analytics teams, own project planning/budgeting/execution, analyze complex data systems, and uphold professional standards while encouraging innovation and continuous improvement.

Design, harden, and scale Snowflake and AWS data platforms, build dimensional data models and resilient Airflow pipelines, optimize complex SQL, develop dbt semantic layers, deploy ML models in AWS, integrate AI/LLMs into workflows, and build data APIs (FastAPI/Flask) to enable enterprise analytics and operational ROI.

Lead Retail GTM analytics and territory operations: build reporting, automate workflows, design territory models, manage data quality/enrichment, and deliver decision-support tools across Salesforce, Snowflake, and Sigma to scale sales coverage and drive growth.

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

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

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.

Lead retention and loyalty strategy for Sling and DISH video services using advanced analytics. Build financial models, identify churn risk, design and execute cross-functional initiatives, support AI/ML-driven solutions, and present insights to senior leadership to improve customer lifetime value and profitability.

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.

Build user-facing data products by transforming internal data into actionable metrics. Collaborate with platform teams and data scientists to prototype, validate, and prioritize data sources. Write requirements and proposals, engage in user research, and deliver performant Python/SQL-based data features using Databricks and Postgres.

Own BI analytics using a modern data stack to generate insights, build dashboards and self-serve tools, partner with stakeholders, and deploy AI-driven reporting and natural-language query solutions.