At any given time, more than $1B of inventory is invested by T-Mobile to support sales of product and services. Balancing this inventory investment with sales and customer service has become more complex with broader portfolios that change rapidly, short life cycles, increasing cost of goods sold, and multifaceted interactions between products.
This increased complexity creates many opportunities to use the assortment of product to optimize the balance between inventory investment and customer service.
Working with partners in procurement, fulfillment, product management and the sales organizations, this role will use statistical and modeling techniques to answer complex business problems around the assortment and placement of product. This will be a crucial role for directing processes and criteria for store clustering, customer segmentation, product assortments, and designing meaningful metrics and performance measurements.
A successful candidate will be one that exhibits curiosity, rigorous problem solving, a practical approach and a can-do attitude.
Help create and support a formal, data driven assortment planning process for efficiently placing inventory in T-Mobiles over 5000 retail stores
Develop rigorous analytical frameworks for evaluating and measuring assortment decisions
Answer complex business questions using statistical and modeling techniques
Design and evaluate tests for new assortment processes and concepts using quantitative methods
Design and perform cluster analysis on stores, products and sales channels in support of assortment planning
Determine analytical tools, systems and processes needed that will enhance our inventory capabilities and efficiencies across the supply chain
Develop best in class approaches to measuring and tracking supply chain and sales performance. Measure the effectiveness of product assortments in retail environments
Collaborate across supply chain, field sales, marketing and finance to identify potential attributes or patterns that can be used to improve the supply chain assortment, procurement and replenishment strategies
Generate new ideas to enhance the assortment process to support corporate objectives.
Assess the quality and risk of model methodologies, outputs, and processes
Explain complex modeling approaches in simple terms
Apply statistical analysis to detect outliers in metrics that can be used to improve processes or refine metrics
Experience analyzing product assortments in multi-channel sales environments
Experience designing, running and analyzing A/B tests
Experience with customer segmentation, cluster analysis, and/or assortment planning
Experience with statistical demand forecasting, inventory optimization, retail replenishment and/or procurement operations
Experience in a planning discipline desired (Demand Planning, Inventory Planning, Replenishment Planning, Supplier Management)
Demonstrated capability to efficiently present complicated and nuanced topics to executives. Must be able to present tradeoffs, risks and rewards in a fashion that drives decisions and alignment
Must be conversant with the interactions between Merchandise Financial Planning, Assortment Planning, Procurement and Replenishment systems
Bachelor's Degree; Masters Preferred
Enough about what you've done. Let's talk about who you are.
Ability to learn quickly, reconsider assumptions, and adjust to new information.
Aptitude for understanding and learning new systems and tools.
Persuasive communication skills appropriately using appropriate written and verbal mediums
Agile and adaptive
Adept at listening to then understanding a variety of points of view
Able to balance concerns from internal customers with data for better decision making
Analytical problem solver; applies multiple technical solutions to operational problems
Collaborative, yet influential
Flexible, self-starter, and comfortable working in a rapidly changing environment
Creative problem solver and solution provider
Detail oriented and organized
Proficient in communicating effectively with both technical and nontechnical stakeholders.
Strong data extraction, analytical and problem-solving skills
Exceptional statistics and experimentation toolkit.
At least 18 years of age
Legally authorized to work in the United StatesHigh School Diploma or GED