Data Analyst II - Omni Analytics

Summary

Tailored Brands, Inc. is a leading omni-channel specialty retailer of menswear. They are seeking a Data Analyst II – Omni Analytics to join their Enterprise Analytics team, where the role will focus on analyzing sales and website data to uncover trends and insights that inform e-commerce and merchandising strategies.

Responsibilities

• Data Analysis: Dive deep into sales, inventory, and website activity to identify trends, patterns, and opportunities
• Reporting: Create clear, concise, and insightful dashboards via Power Bi, Looker Studio, and Excel Pivots
• 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
• Collaborate: Partner with data engineering, ecommerce teams, and across analytics to share learnings, align on methodologies and leverage best practices

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
• Google Analytics: Proficiency in analyzing data in GA is preferred
• 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

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

Benefits

• 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
• Holidays
• Wellbeing program
• Commuter
• Adoption assistance
• Education assistance
• Legal services
• Employee merchandise discounts
• Meeting-Free Fridays (encouraged)
• Summer Fridays | from Memorial Day to Labor Day
• Holiday Early Departure | close out early the business day before a company observed holiday