Senior Data Analyst - Real Estate - Remote
Tailored Brands, Inc
Remote
senior
data
analyst
real estate
remote
data
analytics
real estate
retail
team
strategy
stakeholders
technical
January 24, 2023
Tailored Brands, Inc
Fremont, California
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.
- 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.
- 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.
- 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
- 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.
- 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
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