Pricing Analytics

Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.At least 4 years of experience in Information TechnologyAll applicants authorized to work in the United States are encouraged to apply.Candidate must live within commuting distance of Raleigh, NC, Tempe, AZ, Hartford, CT, Richardson, Tx or Indianapolis, INor be willing to relocate. Travel within the US may be required.At least 3 years of experience in programming languages such as Python, SQL and experience with data visualization tools like Tableau or Power BI.At least 3 years of experience in Cloud platforms (e.g., ADF, Data bricks, Azure) and their AI services.At least 1 years of experience in with a focus on pricing methodologies, revenue management principles, price benchmarking, and competitive pricing analysis.At least 1 years of experience in pricing domains such as dynamic pricing, margin optimization, revenue forecasting, demand elasticity, and customer lifetime value (CLV) analysisRetail domain experience is mustPreferred Qualifications:Experience with machine learning frameworks, experimentation platforms, and big data ecosystems (e.g., Hadoop, Spark).Advanced degree (Master's or Ph.D.) in Data Science, Economics, Statistics, Operations Research, Business Analytics, or a related field.Experience in price sensitivity analysis, cost-plus pricing, value-based pricing, promotional effectiveness analysis, and tiered pricing strategies.Experienced in Agile way of working, manage team effort and track through JIRAHigh Impact client communicationExperience working in a consulting environment is highly desirable.

Created: 2025-01-24