Summary

The Senior Pricing Analyst is an internal consultant for the merchandising department. This individual will be responsible for supporting pricing integrity (price accuracy) and implementation across the entire pricing lifecycle including initial pricing, everyday pricing, price tests and markdown/clearance pricing. This role is directly responsible for using data-driven analytics to develop insights to strengthen pricing strategy recommendations. The Senior Pricing Analyst supports Category Management teams by data mining and presenting findings as they build merchandising strategies. This position requires strong math skills, as well as a demonstration of strong analysis skills with a keen sense of business acumen.

Responsibilities

· Develop and present opportunities to increase profitability and/or sales through pricing initiatives.

· Regularly consult with category managers (CMs) on business needs and make pricing recommendations to support objectives.

· Analyze data in price optimization software and develop scenarios to recommend every day and price test recommendations.

· Apply data-driven analytics to evaluate the marketplace and competitive data to optimally align pricing strategies within the chain and store-specific zones.

· Monitor and evaluate the day-to-day pricing activities across multiple merchandise categories; develop tools/reports to communicate pricing trends.

· Measure success of pricing change activity to ensure the team meets company expectations while maintaining stated and approved pricing philosophies.

· Assume a leadership role for broader departmental responsibilities and projects.

· Support and mentor other team members.

· Solve problems through data analysis and reporting.

· Review and establish best practices for the team.

Requirements

· A Bachelor’s degree (BA, BS) or equivalent in Business Administrations, Statistics, Mathematics, Engineering or comparable field

· Three to five years of experience preferred in Business Administrations, Price Optimization, Statistics, Engineering, or Merchandising related responsibilities

· Knowledge of and interest in activity-based costing, factor analysis, microeconomics, statistical process control, business process analysis, continuous improvement, and business modeling using such techniques as linear regression, experiments, and time series forecasting

· Understanding of database structures; query writing skills a plus

· Excellent interpersonal skills, communication skills and the ability to work with/contribute to a team