Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive, Retail, eCommerceIndustries
Requirements
2 to 4 years of relevant business and data analysis experience in retail/ecommerce/pricing/promotion/merchandising analytics
MBA or Masters in Mathematics/Computer Science/Industrial Engineering/Finance from a reputed institution with good academic record
Quick learner to understand simple and complex pricing policies and its potential impact on key business metrics
Strong business acumen to understand the retail and merchandising functions
Excellent communication and collaborative skills with the ability to work in cross functional multi-cultural global teams
Excellent data analytical skills and ability to formulate the problem from various business scenarios
Responsibilities
Support senior insights analysts and leadership in generating insights from the data to execute the right pricing decisions across multiple channels and discover opportunities of optimizing the pricing strategies
Work with category managers and pricing strategy analysts to suggest/implement pricing and discounting strategies for various business categories
Comprehend the business requirements and formulate the simple mathematical models to develop the solutions for retail pricing business, competitive intelligence, price elasticity, customer segmentation and discounts analysis etc
Use multiple data systems, tools, platforms to analyze the key business trends, formulate hypothesis and present meaningful business insights to pricing leadership team
Effectively Communicate with multiple stakeholders while owning various business initiatives and delivering the quality output
Support any price and cost change execution and competitive moves execution requirements related to assigned categories