This role is eligible for health, dental and vision insurance, prescription drug, retirement savings, life insurance, accident and disability, paid time off for sick leave, vacation, bereavement, jury duty, holidays, wellbeing program, commuter, adoption assistance, legal services, and employee merchandise discounts.
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:
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
4 Year Degree
Telecommuting is allowed.
Internal Number: 22017295
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
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.
Our Enterprise Analytics team is seeking a Senior Real Estate Data Analyst who will lead the reporting, analytical and data science efforts to support the Tailored Brands real estate team. This role will partner strategically to create comprehensive market plans and identify opportunities within the market, supporting decisions around lease renewals, relocations, closures and new market development. You will leverage your skills in stakeholder management, data processing and data storytelling, to ensure quality analytical work that is impactful to business outcomes. And you’ll coordinate with business stakeholders to understand what’s working, what we should change, and make tradeoffs between tactics. This role will be reporting directly to the director of Field Analytics.
Tailored Brands is a high-growth, collaborative environment where people who are comfortable with ambiguity and have an investigative mindset will thrive. If you love technology, have a grasp of the big picture, and communicate equally well with software engineers and business stakeholders, we are looking for you!
What You’ll Do | Key Accountabilities
Partner with Finance and Real estate teams, delivering actionable strategic and tactical recommendations in a consultative approach to support business objectives. Partner directly with business owners to ensure the implementation of the strategy and its success. Some sample projects include:
Developing landlord portfolio analyses
Reviewing and compiling market data/info for real estate committee meetings
Developing and evolving a new store playbook – bringing together insights about the market and customer and tracking comprehensive characteristics of a site as we open stores to use in future decisions
Create operationalized models that bring a variety of data sources together to drive key store leasing decisions and creation of tactical trade areas. Continually evaluating and recalibrating predictive models to ensure relevance and identify voids we may have in the data we’re pulling together for decision making.
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
Present analyses in a clear, interpretable, and applicable way that can be shared widely, communicating effectively with both technical and non-technical partners.
Develop and streamline dynamic reporting and dashboards around sales performance and proactively monitor them. Establish key performance measures for the real estate practice. Surface similarities and trends in the performance measures.
Improve data sources and automate processes so that you can maximize time spent on high value ad-hoc pursuits.
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.
The ideal candidate will have a background working with retail real estate teams and a strong understanding of how retail trade behaves in a given market.
5+ years of experience in Data Analytics or recent graduate with a relevant master’s degree in fields related to data and statistics or equivalent bootcamp/experience
Fluent with complex SQL queries and dataset transformations on large datasets.
Familiarity analyzing real estate site data – characteristics of site, real estate KPIs, etc.
Experience working on Alteryx or similar software that allows you to work on Geo-Spatial data
Experience in a data visualization tool like Tableau, Qlik or Power BI which allows you to create rich dashboards and derive insights.
Exposure to Statistics and/or basic machine learning techniques.
A mind keen to grow and learn in the areas of Business and Technology.
Strong communication and collaboration skills; act as a bridge among business, analytics, and engineering teams.
Proven ability of delivering 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.
Bachelor’s degree in a technical field like Computer Science, Economics, Finance, Statistics, Operations Research, or Industrial Engineering, or relevant experience.
Preferred Skills & Experience
Familiarity with R or Python and with using common machine learning models (for example, using python data packages like scikit-learn) for nuanced exploration of business data.
Experience with agile methodology
Exposure to A/B testing process, outcomes and tools
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 location.