Requirements

Additional Requirements

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

Responsibilities & Context

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.

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.

Key Responsibilities

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.

Compensation & Other Benefits

SalaryUSD 122,700 - 188,000 / annual

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, p
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-d
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 s
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 req
Originally posted on Himalayas

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Sr Store Analytics Manager

Summary

Requirements

Additional Requirements

Responsibilities & Context

Key Responsibilities

Skills & Expertise

Compensation & Other Benefits

Workplace

Employment Status

Job Location

How to Apply

Company Information

Report this Job / Company (রিপোর্ট)

Summary

Requirements

Additional Requirements

Responsibilities & Context

Key Responsibilities

Skills & Expertise

Compensation & Other Benefits

Workplace

Employment Status

Job Location

How to Apply

Company Information

Report this Job / Company (রিপোর্ট)

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