[Hiring] Data Analyst II - Merchandising Analytics @Tailored Brands

Role Description

We currently have an exciting opportunity for a Data Analyst II – Merchandising Analytics to join the Tailored Brands Enterprise Analytics team. You will serve as a vital role as a “data detective” investigating trends underlying KPIs to uncover the "why" behind performance. Collaborating with buying, planning, and promotional teams, you will go beyond retrospective reporting to identify who is impacted and what it means for our future. Your proactive, forward-looking insights will guide, monitor, and measure key merchandising and planning strategies.

What You’ll Do | Key Accountabilities

• Data Analysis: Dive deep into sales, inventory, and customer data to identify trends, patterns, and opportunities.
• Reporting: Create clear, concise, and insightful reports and dashboards for stakeholders.
• Inventory Management: Provide insights to help develop and execute seasonal and annual merchandise buying plans.
• Visual Merchandising: Collaborate with planning and visual merchandising teams to optimize product placement and availability.
• Pricing Insights: Analyze pricing strategies and elasticities to provide recommendations for adjustments.
• Promotional Effectiveness: Evaluate the impact of promotions on sales and customer behavior.
• Market Analysis: Analyze market trends to identify new opportunities for increasing sales.
• Forecasting: Use statistical models to create forward-looking prediction models.
• Presentations: Present analyses in a clear, interpretable, and applicable way that can be shared widely, communicating effectively with both technical and non-technical partners.

Qualifications

• Bachelor’s degree in statistics, business, merchandising, or a related field is required.
• Minimum of 3 years career experience in a similar role.
• SQL: Proficiency in querying databases for data extraction is required.
• Data Visualization: Experience visualizing insights in enterprise Business Intelligence tools effectively is required, preferably in Power BI.
• AI Tools: Ability to use tools (such as CoPilot and Glean) to amplify, but not replace thinking, in work is required.
• Python/R: Proficiency in scripting data manipulation and modeling for analysis is preferred.

Requirements

• 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 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.

Work-Life Balance

• 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 starting salary for this position is $92,810 - $142,300. Actual compensation within this range will be determined based on factors such as skills, experience, and qualifications. Over time, and subject to performance, tenure, and evolving responsibilities, total compensation for this role may grow to as much as $193,294. Base pay information is based on market location and may be subject to prevailing wage laws, if applicable.