Revenue Analytics and Pricing Specialist

Job Description

Responsibilities:

• Quantitative Studies and Analysis: Regression (Linear, Logistic, etc.), Time Series Analysis, Multivariate Analysis (Factor Analysis, Cluster Analysis, Discriminant Analysis, Conjoint Analysis, Correspondence Analysis, etc.), Sample Size Calculation, Survey Operations, Experimental Designs, Bayesian and Classical Statistics, Nonparametric Statistics
• Qualitative Studies and Strategies: Market Research and Pricing Strategies/Policies
• Prepares models with wide array of data to forecast B2B buyer behavior
• Maintain pricing models for changing business needs
• Collates, analyzes, and interprets data to actionable business intelligence
• Drive process improvements via workflow consolidation or by use of technology
• Administrator of pricing approval process
• Highly knowledgeable to different statistical methods/techniques and programming software programs
• Utilize Statistical programming software aside from MS Excel (RStudio, Python, SPSS, etc.) in processing pricing data
• Responsible in devising and analyzing statistical methods to the pricing data
• Evaluate and transform conceptual framework/s into a measurable pricing model/analysis
• Comfortable in executing different Statistical methods and programming tools