Data Analyst - Test & Learn

Men's Wearhouse, part of Tailored Brands, Inc., is a leading omni-channel specialty retailer of menswear and tuxedo rental products. The Test & Learn Analyst will support the Enterprise Analytics team by designing test experiments, analyzing data, and delivering insights that improve business strategies and decision-making across the organization. This role partners with business stakeholders, internal IT, and analytics teams to translate complex findings into actionable recommendations.

Responsibilities:

• Partner with business stakeholders on key business questions, delivering creative test solutions and strategies to drive real business results
• Provide actionable test results in a clear, interpretable, and applicable way that can be shared widely, communicating effectively with both technical and non-technical partners
• Conduct ad-hoc analyses to identify test opportunities and goals
• Participate in test planning meetings, offering counsel and recommendations on best practices for test design while also adjusting for business needs
• Manage and prioritize multiple projects simultaneously based on what is most impactful to the business and our customers
• Act as liaison between Test & Learn vendor and internal IT identifying relevant store/customer attributes and metrics to set up as data feeds and assisting internal IT with data maintenance and validation
• Partner across Analytics to share learnings, align on methodologies and leverage best practices

Requirements:

• • 3+ years of experience in analytics, with progressive responsibility in leading, executing, and presenting data-driven projects to cross-functional teams
• • Proficiency in Mastercard's Test & Learn tool (Previously APT), with deep hands-on experience in utilizing it for test analysis, optimization, and decision-making processes
• • Familiarity with A/B testing process to improve business outcomes
• • Demonstrated ability to identify business needs, provide in-depth analysis, and derive actionable insights that address underlying issues and drive business performance
• • Foundation in statistical modeling, including segmentation, linear regression, and hypothesis testing
• • Exceptional communication skills—both written and oral—suitable for presenting complex findings to all levels of the organization, with a particular emphasis on delivering insights to senior management and stakeholders
• • Fluent with complex SQL queries and dataset transformations on large datasets
• • Strong communication and collaboration skills; act as a bridge among business, analytics and 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
• • Bachelor's degree in applied Statistics, Economics, Finance, Engineering, Market Analysis, or related fields; or relevant experience
• • 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