At Altarum, we’re driven by a simple but powerful mission: improving the health of individuals with fewer financial resources and populations underserved by the healthcare system. We partner with federal and state agencies to design and
What you’ll need to succeed as a Lead Analyst, Pricing (Revenue Management Strategy) XPO Minimum qualifications: Bachelors degree or equivalent related work or military experience 4 years of professional experience in quantitative analysis Solid grasp of
What you’ll need to succeed as a Senior Analyst, Contract Pricing at XPO Minimum qualifications: · Bachelor’s degree or 4 years of equivalent work or military experience · 3 years of professional experience in quantitative analysis ·
Description Executive Summary This project is to establish NetBox as the single source of truth for network device inventory data and to implement bi-directional synchronization between NetBox and our current internal network inventory database (Oracle). The
Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to GM Warren Global Technical Center or Austin Technical Center three times per week, at minimum [or other frequency
Overview and Summary We are Business Scientists. We empower our clients to turn overwhelming industry data into discovery, action and measured success. We are unique market leaders because we find and examine possibilities through the clarity
Controller Directive Consulting is the leading B2B performance marketing agency that delivers real revenuenot just leads. We use Customer Generation (a marketing methodology developed by us) to cut through the noise. Forget MQLswere here to drive
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
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