高级商店分析经理
Sr Store Analytics Manager
Tailored Brands 是一家领先的男士服饰零售商,提供西装、正装、运动服饰以及广泛的商务休闲产品。我们的品牌包括 Men's Wearhouse、Jos. A. Bank、Moores 和 K&G Fashion Superstore,为全家提供各类商品。我们通过便捷的门店网络和电子商务网站,提供个性化的产品和服务,帮助人们在最重要的时刻展现最佳形象。
职位简介
我们目前有一个令人兴奋的机会,招聘一位高级门店分析经理加入 Tailored Brands 企业分析团队。高级门店分析经理是门店增长决策的主要分析合作伙伴。您将参与决定 Tailored Brands 的增长方向,评估新机会,理解门店成熟度和网络效应,并在门店测试和投资推出后进行衡量。这是一个高级战略与分析岗位,适合能够将严谨的定量分析与高管级沟通能力相结合的人选。
您将负责 | 主要职责
- 将复杂的预测和分析结果转化为清晰的业务建议,包括风险、敏感性分析和高管可用的决策框架。
- 在门店增长项目中建立并标准化分析方法、假设、治理流程和决策框架。
- 领导门店成熟度和销售增长分析,验证长期绩效假设,并为下一代预测能力打下基础。
- 设计、执行并传达针对新门店开业、翻新计划、市场激活和其他战略投资的测试与学习分析。
- 开发和优化预测模型,以提升选址能力、预测准确性以及对门店表现驱动因素的理解,包括重力模型、共租分析和市场潜力评估等新兴工作。
- 利用内部绩效数据和外部数据集——包括移动性、消费者支出、人口统计数据和竞争情报来源——来评估市场机会,量化需求潜力,并加强门店增长建议。
- 与房地产、门店运营、商品管理、财务、数据工程和高管领导紧密合作,确保分析建议与业务战略保持一致。
- 指导分析师,并通过识别应用分析的新机会,为长期分析路线图做出贡献。
查看英文原文
Tailored Brands is a leading specialty retailer of menswear, including suits, formalwear, sportswear, and a broad selection of business casual offerings. Our brandsinclude Men's Wearhouse, Jos. A. Bank, Moores and K&G Fashion Superstore,which offers merchandise for the entire family. We help people love the way they look and feel for their most important moments by delivering personalized products and services through our convenient network of stores and e-commerce sites.
About the Job
We currently have an exciting opportunity for a Sr Store Analytics Manager to join the Tailored Brands Enterprise Analytics team. The Sr Store Analytics Manager is the lead analytical partner for store-growth decisions. You will help shape where Tailored Brands grows, how new opportunities are evaluated, how store maturity and network effects are understood, and how store tests and investments are measured after launch. This is a senior strategy-and-analytics role for someone who can pair quantitative rigor with executive-ready communication.
What You’ll Do | Key Accountabilities
- Translate complex forecasts and analytical findings into clear business recommendations, including risks, sensitivities, and executive-ready decision frameworks.
- Establish and standardize analytical methodologies, assumptions, governance practices, and decision frameworks across store-growth initiatives.
- Lead store maturity and sales ramp analyses to validate long-term performance assumptions and establish the foundation for next-generation forecast capabilities.
- Design, execute, and communicate test-and-learn analyses for new store openings, remodel programs, market activations, and other strategic investments.
- Develop and enhance predictive models that improve location selection, forecast accuracy, and understanding of drivers of store performance, including emerging work in gravity modeling, co-tenancy analysis, and market potential estimation.
- Leverage internal performance data and external datasets—including mobility, consumer spend, demographic, and competitive intelligence sources—to evaluate market opportunities, quantify demand potential, and strengthen store-growth recommendations.
- Partner closely with Real Estate, Store Operations, Merchandising, Finance, Data Engineering, and executive leadership to align analytical recommendations with business strategy.
- Mentor analysts and contribute to the long-term analytics roadmap by identifying new opportunities to apply advanced analytics, machine learning, and external market data to drive profitable growth.
What You’ll Bring | Skills & Experience
- Bachelor’s degree in Analytics, Statistics, Economics, Mathematics, Business, Data Science, Geography, or a related quantitative field; advanced degree preferred.
- 10+ years of experience in analytics, strategy, retail, real estate, consulting, consumer insights, or a related field.
- Strong SQL, Excel, and Python skills, with experience transforming large datasets into actionable business recommendations.
- Experience building, evaluating, or operationalizing forecasting models, predictive analytics, experimentation frameworks, or other decision-support methodologies.
- Familiarity with location intelligence, trade-area analytics, site selection, market planning, geospatial analysis, or related retail growth disciplines.
- Experience working with external data sources such as mobility, consumer spend, demographic, competitive, or market intelligence datasets.
- Strong analytical problem-solving skills, including the ability to evaluate uncertainty, quantify risk, and develop data-driven recommendations
- Proven ability to communicate complex analyses and recommendations to senior leaders and cross-functional stakeholders.
- Experience partnering across functions including Real Estate, Operations, Finance, Merchandising, Data Science, or Data Engineering.
- Curiosity, strong business judgment, and a continuous-improvement mindset with a passion for using data to drive growth decisions.
Please note that you do not need to qualify for all requirements to be considered. We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialog to be considered.
Work Environment, Physical & Mental Demands
- Ability to sit and work at a computer keyboard for extended periods of time
- Ability to stoop, kneel, bend at the waist, and reach daily
- Able to lift and move up to 25 pounds occasionally
- Must utilize visual acuity, speech and hearing, hand and eye coordination and manual dexterity necessary to operate a computer and office equipment
- Hours regularly 40 hours per week, as work dictates, from a remote office location
Benefits
This role is eligible for healthcare including medical, dental and vision, retirement savings (401k with a company match), income protection programs such as life, accident and disability insurance, paid time off for sick leave, vacation, bereavement, jury duty, and holidays, wellbeing program, commuter, adoption assistance, education assistance, legal services, and employee merchandise discounts. For more detailed information go Tailoredbrands.com/working-here/people-culture.
Work-Life Balance
We understand the demands of work, school, family, and personal responsibilities. Through our work-life resources and programs we offer services for every stage of life to help you manage the day-to-day needs. We offer programs such as:
- Meeting-Free Fridays (encouraged) | so you can catch up on work and self-development
- Summer Fridays | from Memorial Day to Labor Day so you can enjoy a head-start to the weekend
- Holiday Early Departure | close out early the business day before a company observed holiday
The starting salary for this position is $122,700 - $188,000. Actual compensation within this range will be determined based on factors such as skills, experience, and qualifications. Over time, and subject to performance, tenure, and evolving responsibilities, total compensation for this role may grow to as much as $255,694. Other compensation may include a 10% Annual Incentive Plan (AIP) bonus paid out according to policy. Base pay information is based on market location and may be subject to prevailing wage laws, if applicable.
Note: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required and are not intended to be an exhaustive list of all duties, responsibilities or qualifications associated with this job.
Originally posted on Himalayas