Data Analyst II - Merchandising Analytics

Summary

Tailored Brands is a leading specialty retailer of menswear, and they are seeking a Data Analyst II – Merchandising Analytics to join their Enterprise Analytics team. The role involves analyzing sales and customer data to uncover trends, creating insightful reports, and collaborating with various teams to optimize merchandising strategies.

Responsibilities

• 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

Skills

• 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

Qualifications

Must Haves

• 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

Nice to Haves

• Python/R: Proficiency in scripting data manipulation and modeling for analysis is preferred

Benefits

• 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
• Employee merchandise discounts.
• 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