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Tailored Brands Inc

Data Analyst II - Store Analytics

Tailored Brands Inc, Houston, Texas, United States, 77246

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Tailored Brands

is a leading specialty retailer of menswear, including suits, formalwear, sportswear, and a broad selection of business casual offerings. Our brands

include 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.

About the Job

We currently have an exciting opportunity for a Data Analyst II to join our Store Analytics team.

This position is based in Houston, Texas but employee may work from any location in the United States, subject to the company's remote work policy. The office location is 6380 Rogerdale Road, Houston, Texas 77072

What You'll Do | Key Accountabilities • Support analytical projects under the direction of the Director, Field Analytics, delivering accurate and impactful insights • Conduct in-depth data analysis to generate comprehensive reporting on store performance, staffing optimizations, and KPI impacts, identifying key drivers of successful store performance • Leverage a wide array of data sources including store, Point of Sale, customer, and real estate data to derive strategic insights, creating advanced visualizations that propel business growth • Focus on customer-centric analysis, utilizing TBI customer data and national consumer behavior data to identify and engage target customers. • Implement and oversee a systematic test & learn approach to continuously enhance store performance metrics and strategies • Assess the maintenance of reports and dashboards • Identify critical metrics, create advanced reports, and proactively monitor data, streamlining resources and automating processes for efficiency. • Articulate complex analysis to technical and non-technical stakeholders, influencing decision-making at all levels • Collaborate with and guide Data Engineering teams to elevate data quality, standardize definitions, and improve tools and methodologies • Manage and prioritize a diverse range of projects, assessing impact on business and customers • Support the Analytics team to share insights, strategize, and instill best practices.

What You'll Bring | Skills & Experience • Master's degree in Computer Science, Finance, Statistics, Analytics, or closely related field, • 2 years professional experience, including 2 years of experience in Analytics, demonstrating significant responsibility in initiating, leading, and presenting insights from analytics to cross-functional teams; 2 years of experience in complex SQL queries and handling large datasets; 2 years of experience in Python syntax, structure, and applications; 2 years of experience in advanced data visualization tools (e.g., Google Data Studio, Tableau, Power BI) for creating detailed dashboards and insights (any combination of these tools will qualify for the requirement e.g. 1 years of Tableau plus 1 years of PowerBI); and 2 years of experience in advanced analytics projects, applying methods like decision science, optimization, machine learning, and forecasting, and recognizing their potential value for stakeholders

OR • Bachelor's degree in Computer Science, Finance, Statistics, Analytics, or closely related field, • 5 years professional experience, including 5 years of experience in Analytics, demonstrating significant responsibility in initiating, leading, and presenting insights from analytics to cross-functional teams; 5 years of experience in complex SQL queries and handling large datasets; 3 years of experience in Python syntax, structure, and applications; 5 years of experience in advanced data visualization tools (e.g., Google Data Studio, Tableau, Power BI) for creating detailed dashboards and insights (any combination of these tools will qualify for the requirement e.g. 2 years of Tableau plus 3 years of PowerBI); and 3 years of experience in advanced analytics projects, applying methods like decision science, optimization, machine learning, and forecasting, and recognizing their potential value for stakeholders

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, 8:00 am to 5:00 pm Monday - Friday, from any location in the United States subject to company remote work policy.

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 Tailoredbrands.com/working-here/people-culture.

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 salary for this position is $133,078 - $148,078. Actual compensation within this range will be determined based on factors such as skills, experience, and qualifications.