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
The Tailored Brands’ Enterprise Analytics team is central to our data-forward strategy, driving insights into every aspect of our business, supporting stakeholders across the organization, and creating a legendary customer experience.
We are seeking a Store Analytics Manager who will lead the analytical and data science efforts to support our Store and Real Estate stakeholders by enhancing our understanding of brick-and-mortar store performance, optimizing our labor model, refining key performance indicators related to in-store efficiency, providing data-driven insights for our rental business, and contributing strategically to the expansion of our store network. In this role, you will leverage your analytics and communication skills in stakeholder management, data processing and data storytelling to ensure quality analytical work that is impactful to business outcomes. You will coordinate with senior leadership to understand what’s working, what we should change, and make tradeoffs between tactics. This is a remote position requiring the ability to occasionally travel for onsite team meetings at the corporate office.
What You’ll Do | Key Accountabilities
- Mentor a small team and inspire a high standard on the team for relevant and timely insights, model best practices, and lead with empathy.
- Analyze data to consolidate stores reporting, optimize staffing, and evaluate the impact of KPIs on stores. Utilize expertise to identify the drivers of successful stores.
- Harness the power of diverse data sources such as store, Point of Sale, customer, and real estate data to provide valuable insights and actionable visualizations that drive business growth.
- Apply a customer-focused lens to your analyses: Use TBI customer data and national consumer behavioral data to identify target customers and thus create analytics to make sure that as an organization we do the best to be closer to our customers.
- Employ a systematic test & Learn approach to drive continual improvements in both store performance and execution.
- Develop and streamline reporting and dashboards. Identify what metrics matter and craft elegant reports and proactively monitor them. Improve data sources and automate processes that can maximize time spent on high value ad-hoc pursuits.
- Present analyses in a clear, interpretable, and applicable way that can be shared widely, communicating effectively with both technical and non-technical partners.
- Collaborate with colleagues in Data Engineering to develop ongoing improvements to data quality, standardized definitions, governance, tools, and approaches.
- Manage and prioritize multiple projects simultaneously based on what is most impactful to the business and our customers.
- Partner across Analytics to share learnings, align on methodologies and leverage best practices.
What You’ll Bring | Skills & Experience
- 6+ years of experience in Analytics, with progressive responsibility initiating, executing, and presenting insights from analytics for cross-functional teams.
- 2+ years of experience in the retail industry
- 1+ years of experience directly managing people.
- Bachelor’s degree in a technical field like Computer Science, Economics, Finance, Statistics, Analytics, Operations Research, or Industrial Engineering, or relevant experience. Master’s degree preferred.
- Fluent with complex SQL queries and dataset transformations on large datasets.
- Deep experience in advanced data visualization tools such as Google Data Studio, Tableau, or Power BI which allow you to create rich dashboards and derive insights.
- Exposure to a variety of advanced analytics projects and use cases that apply methods like decision science, optimization, supervised and unsupervised learning, and forecasting with the intent of recognizing when they may add value for stakeholders.
- Experience to A/B testing process, outcomes, and tools (APT, Qubit, Optimizely, etc.)
- Strong communication and collaboration skills; act as a bridge among business, analytics, and Data engineering teams.
- Proven ability of delivering highly complex analytics projects involving methodology development, analysis, strategic recommendations, and presentation of the findings.
- Confidence to scrutinize and share the limitations of our analyses when the data isn’t perfect.
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 health, dental and vision insurance, prescription drug, 401k, life insurance, accident and disability, paid time off for sick leave, vacation (80 hours per year), bereavement, jury duty, holidays (9 days per year), wellbeing program, commuter, adoption assistance, legal services, and employee merchandise discounts.
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.
$120,000 – $150,000. We take into consideration an individual’s skills, background, and experience in determining final salary. 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.
Work Locations: 02098 Corporate Remote 5601 Arnold Rd., Suite 200 Dublin 94568
Job: Strategy & Analytics
Organization: Tailored Shared Services
Shift: Day Job