Ibotta is seeking an Business Analytics Manager to join the Revenue Strategy & Operations team. The team that drives actionable insights and the processes into revenue outcomes. This is not only a data reporting role. You
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced
About DAT DAT Freight & Analytics is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of freight and logistics innovation for nearly five decades. Founded in
About Point Real Impact, Real People: Our mission at Point is to make homeownership more valuable and accessible. Your work directly helps homeowners access their wealth, achieve financial flexibility, and realize life changing goals. Funding: With
JOB REQUISITIONDenver Technology Consulting Intern - 2027 LOCATIONDENVER ADDITIONAL LOCATION(S) JOB DESCRIPTION Are You Ready to Live Something Different with Protiviti? The Protiviti career provides an opportunity to learn, shape outcomes, and grow within a collaborative,
We are recruiting for a mission-driven Manager, Business Analytics - Denver Health Medical Plan (Must Live in Colorado. Weekly On Site Requirement.) to join our team! Were with you for life’s journey. At Denver Health, purpose
Institutional Research and Survey Support Analyst( Job Number: 41028) Description Position Details University of Colorado | Denver Official Title: Business Services Intermediate Professional Working Title: Institutional Research and Survey Support Analyst FTE: Full-time Salary Range: $66,334
Who We Are At OrthoFi, were not just another player in the orthodontic industry – were the driving force that helps orthodontists launch more smiles while ensuring top-tier patient care. Our tech-savvy solutions are the secret
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side