Job description

Tailored Brands, Inc . is a leading omni-channel specialty retailer of menswear, including suits and a broad selection of business casual offerings as well as the largest provider of tuxedo rental products in the U.S. and Canada. We operate retail stores in all 50 states and Canada. Our U.S. retail stores are operated under the brand names of Men’s Wearhouse, Jos. A. Bank, Men’s Wearhouse and Tux, and K&G Fashion. Our Canadian stores are operated under the brand name of Moores in ten provinces. Our purpose is we help people love the way they look and feel for their most important moments. We accomplish this by putting customers at the center of every decision, rallying together to achieve common goals, and striving for excellence and continuous improvement. We help fulfill this purpose by valuing differences and knowing they make us better and showing up with courage to always do the right thing. If you want to make a difference, be part of a great team and grow, you might be a perfect fit. About the Job We currently have an exciting opportunity for an Data Analyst II – Omni Analytics to join the Tailored Brands Enterprise Analytics team. You will serve as a vital role as a “data detective” investigating trends underlying KPIs to uncover the "why" behind performance. Collaborating with merchandising and ecomm teams, you will go beyond retrospective reporting to identify who is impacted and what it means for our future. Your proactive, forward-looking insights will guide, monitor, and measure key ecomm and merchandising strategies. What You’ll Do | Key Accountabilities • Data Analysis : Dive deep into sales, inventory, and website activity to identify trends, patterns, and opportunities. • Reporting : Create clear, concise, and insightful dashboards via Power Bi, Looker Studio, and Excel Pivots. • Forecasting : Use statistical models to create forward-looking prediction models. • Presentations : Present analyses in a clear, interpretable, and applicable way that can be shared widely, communicating effectively with both technical and non-technical partners. • Collaborate: Partner with data engineering, ecommerce teams, and across analytics to share learnings, align on methodologies and leverage best practices. What You’ll Bring | Skills & Experience • Bachelor’s degree in statistics, business, merchandising, or a related field is required. • Minimum of 3 years career experience in a similar role • SQL: Proficiency in querying databases for data extraction is required. • Data Visualization: Experience visualizing insights in enterprise Business Intelligence tools effectively is required, preferably in Power BI. • AI Tools: Ability to use tools (such as CoPilot and Glean) to amplify, but not replace thinking, in work is required. • Google Analytics: Proficiency in analyzing data in GA is preferred. • Python/R: Proficiency in scripting data manipulation and modeling for analysis is preferred. 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. • 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 to mytbtotalrewards.com. 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 $92,810 – $142,350. 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 $193,294. 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.

Requirements

Must-haves

What You’ll Do | Key Accountabilities
Data Analysis : Dive deep into sales, inventory, and website activity to identify trends, patterns, and opportunities.
Reporting : Create clear, concise, and insightful dashboards via Power Bi, Looker Studio, and Excel Pivots.
Forecasting : Use statistical models to create forward-looking prediction models.
Presentations : Present analyses in a clear, interpretable, and applicable way that can be shared widely, communicating effectively with both technical and non-technical partners.
Collaborate: Partner with data engineering, ecommerce teams, and across analytics to share learnings, align on methodologies and leverage best practices.
What You’ll Bring | Skills & Experience
Bachelor’s degree in statistics, business, merchandising, or a related field is required.
Minimum of 3 years career experience in a similar role
SQL: Proficiency in querying databases for data extraction is required.
Data Visualization: Experience visualizing insights in enterprise Business Intelligence tools effectively is required, preferably in Power BI.
AI Tools: Ability to use tools (such as CoPilot and Glean) to amplify, but not replace thinking, in work is required.
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.
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.

Nice-to-haves

Google Analytics: Proficiency in analyzing data in GA is preferred.
Python/R: Proficiency in scripting data manipulation and modeling for analysis is preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

gosqlaipython

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off