Sr Store Analytics Manager Arnold Rd., Suite , Dublin, CA Office

Position: Sr Store Analytics Manager 5601 Arnold Rd., Suite 200, Dublin, CA, United States, 94568 Office [...]
## Sr Store Analytics Manager
5601 Arnold Rd., Suite 200, Dublin, CA, United States, 94568

Apply Now Get Job Matches Job IDBrand Name Tailored Shared Services, LLCJob Function Office - Strategy & Analytics Location
5601 Arnold Rd., Suite 200, Dublin, CA, United States, 94568

Location Name
02098 Corporate Remote
** Tailored Brands
** is a leading specialty retailer of menswear, including suits, formal wear, sportswear, and a broad selection of business casual offerings. Our brands
** include 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,…