Top Hybrid Data & Analytics Jobs in CO

Lead revenue analytics at Gusto, driving data strategies for growth. Oversee forecasting, marketing analytics, and customer insights across teams.

The Business Procedures Consultant II will enhance operational performance in Long-Term Disability by leading reporting, analytics, and process improvements while collaborating with leadership to influence decision-making.

Partner with Finance and stakeholders to gather requirements, develop and maintain financial and operational reports and dashboards, analyze complex datasets, build and optimize SQL queries/stored procedures, ensure data quality, support rate-setting, and identify automation opportunities to improve reporting and self-service analytics.

The Senior Revenue Accountant will manage sales contracts, ensure compliance with ASC 606, perform deal analysis, and assist with financial reporting and audits.

The Senior Data Analyst collaborates with People teams to transform HR data into insights, conducts analyses, and builds dashboards to improve workforce effectiveness.

The role involves optimizing and managing Salesforce operations for various departments, driving Quote-to-Cash processes, and ensuring compliance while collaborating with other teams.

Lead and grow a casino analytics team to measure, diagnose, and optimize Casino revenue performance. Provide strategic analytics support to Revenue Operations, run deep-dive customer and promotion analyses, build scalable monitoring/alerting frameworks, translate insights into actionable recommendations, and manage an analytics roadmap prioritizing short-term wins and long-term AI-enabled strategies.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.