Top Data & Analytics Jobs in CO

The Senior Data Scientist will develop and deploy analytical models supporting marketing strategies, assess campaign effectiveness, and optimize customer engagement strategies, employing advanced data-driven methods and partnering with marketing stakeholders.

Maintain and improve eligibility and claims data feeds, analyze feed performance and errors, troubleshoot discrepancies, work with external feed providers to map and test integrations, and help improve internal tools, documentation, and processes.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

As a Senior BI Developer, you will support the company with data analysis, reporting, and visualization, helping teams make data-driven decisions.

As an Associate BI Developer, you will analyze and interpret data to support business decisions, automate reports, and enhance data visualization, focusing on driving business performance through data-driven insights.

The Chief Economist will lead research on small business trends, focusing on economic analysis, AI implementation, and advocating for SMBs, while managing a high-performing team.

Lead analytics implementations using Google Analytics and Tag Manager for clients, providing mentorship and managing projects with a focus on enhancing clients' digital strategies.

The Client Analyst will manage client-facing data and analytics requests, align objectives with campaign performance, provide insights, and optimize campaigns for key accounts.

The Senior Data Engineer II will design and maintain scalable data pipelines, collaborate with teams on machine learning workflows, and ensure data accessibility across systems.

The Analytics Engineer will manage BI modeling, create dashboards, ensure data quality, and collaborate with customers and teams for reporting needs.

Optimize site visibility for traditional search and AI answer engines by performing technical audits, implementing schema, QA/testing pages, tracking AEO metrics, and translating AI/search platform changes into recommendations.