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

Tailored Brands, Inc.; Dublin (CA); A distancia; USD 123.000 - 188.000; Jornada completa

Descripción de la vacante

Tailored Brands, Inc. is seeking a Sr Store Analytics Manager to lead analytics for store-growth decisions within the Enterprise Analytics team. You will shape where Tailored Brands grows, evaluate opportunities, and measure store tests after launch with executive-ready communication.

You will mentor analysts and develop predictive models for location selection, market potential, and performance drivers, partnering acrossReal Estate, Ops, Finance, and Data Engineering.

Formación

• Bachelor’s degree in analytics, statistics, economics, mathematics, business, data science, geography, or related quantitative field.
• 10+ years of experience in analytics, strategy, retail, real estate, consulting, consumer insights, or related field.
• Strong SQL, Excel, and Python skills with the ability to transform 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, or market intelligence datasets.
• Strong analytical problem-solving skills and the ability to communicate complex analyses to senior leaders.

Responsabilidades

• Translate complex forecasts and analytical findings into clear business recommendations with risks and decision frameworks.
• Establish and standardize analytical methodologies, assumptions, governance, and decision frameworks across store-growth initiatives.
• Lead store maturity and sales ramp analyses to validate long-term performance assumptions and forecast capabilities.
• Design, execute, and communicate test-and-learn analyses for new store openings, remodels, and market activations.
• Develop and enhance predictive models for location selection, forecast accuracy, and drivers of store performance.
• Leverage internal and external data to evaluate market opportunities and strengthen store-growth recommendations.
• Partner with Real Estate, Store Ops, Merchandising, Finance, Data Engineering, and leadership to align analytics with strategy.
• Mentor analysts and contribute to the analytics roadmap with advanced analytics and external market data.

Conocimientos

SQL

Excel

Python

Educación

Bachelor’s degree in Analytics/Statistics/Economics/Mathematics/Business/Data Science/Geography or related quantitative field

Descripción del empleo

Sr Store Analytics Manager5601 Arnold Rd., Suite 200, Dublin, CA, United States, 94568

Brand NameTailored Shared Services, LLC

Job FunctionOffice - Strategy & Analytics

Location5601 Arnold Rd., Suite 200, Dublin, CA, United States, 94568

Location Name02098 Corporate Remote

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.

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.