• Macys
  • New York , NY
  • Non-Executive Management
  • Full-Time
  • 354 W 31st St

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Job Description:Job Overview: The Price Strategy group defines strategic direction for integrating enhanced analytics into retail pricing at Macy's. We're looking for a self-starter with experience in data-driven decision making to the future of price optimization and strategies that will allow Macy's to dramatically improve profitability & market share. As a Pricing Analytics Manager, you will translate analytical insight into core business decisions such as pricing and promotional strategies. You will leverage quantitative business analytics to analyze key performance metrics, formulate new pricing theories, and identify opportunities for optimization. You will perform technical analyses to forecast demand, understand customer preferences, simulate business outcomes, and optimize inventory investments. The perfect candidate will have a background in a quantitative or technical field with an entrepreneurial mind-set and an excitement to analyze data and collaborate with a highly cross-functional group of business partners. Perform other duties as assigned. Essential Functions: Project Management Answer complex business questions by applying structured problem solving and performing technical analyses. Synthesize key insights and formulate actionable recommendations. Plan and perform analytical approaches to inform the development, execution and measurement of pricing and promotional strategies. Support the development of classification, forecasting, simulation, optimization, and summarization applications. Build trusted relationships with key stakeholders. Collaborate with other teams within the broader Inventory Management & Analytics group and Merchandising. Develop persuasive interactive visualizations to influence high-impact business decision-making. Communicate complex quantitative analyses in a clear, precise, and actionable manner, to Technical and Business stakeholders. Qualifications: Education/Experience: B.S. or M.B.A (preferred) with technical background in Mathematics, Computer Science, Engineering, Economics or related disciplines. Experience with data mining from large structured datasets and writing SQL against relational databases. Experience with scripting languages (knowledge of Python preferred). Understanding of statistics (e.g., hypothesis testing, regressions). Experience distilling complicated and large datasets into concise visualizations, and with visualization tools such as Tableau. Advanced knowledge of Microsoft Office, specifically Excel and Powerpoint. Communication Skills: Ability to clearly define the objective of a complicated analytical problem, outline a plan to get relevant data, analyze the data and summarize results in a compelling fashion. Ability to communicate complex quantitative analyses in a clear, precise and actionable manner to both technical and non-technical audiences. Mathematical Skills: Basic math functions such as addition, subtraction, multiplication, and division. Able to use a calculator. Reasoning Ability: Strong passion for answering complex business questions using structured problem solving and rigorous data analysis. Ability to learn and act quickly, make decisions and draw conclusions in the face of ambiguity. Physical Demands: This position requires constant moving and standing. Must be able to stand for at least two consecutive hours. Must be able to lift at least 30 lbs. May occasionally be required to reach, stoop, kneel, crouch, and climb ladders. May have to reach above eye level. Involves close vision, color vision, depth perception, and focus adjustment. Other Skills: An entrepreneurial mind-set with an excitement to analyze data and collaborate with a highly cross-functional group of business partners. Work Hours: Ability to work a flexible schedule based on department and company needs. This job description is not all inclusive. Macy's Inc. reserves the right to amend this job description at any time. Macy's Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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