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.

• Support daily taxonomy operations by labeling, annotating, and classifying complex job and resume data. • Standardize job titles and accurately map occupations across core global datasets. • Review and validate metadata to optimize overall taxonomy quality, ensuring all outputs remain accurate and highly consistent. • Perform data cleanup and localization workflows specifically tailored for global markets while strictly adhering to data labeling guidelines. • Process and evaluate high-volume datasets using strong pattern recognition skills and sharp attention to detail.

Role Description The Reports Analyst is responsible for supporting internal reporting, data analysis, and business intelligence activities across multiple operational programs within the organization. This role focuses on collecting, organizing, and maintaining operational data used to support leadership decision-making, workforce planning, operational performance management, and reporting automation initiatives. This is an individual contributor role with no direct reports and no client-facing responsibilities. The position requires strong analytical skills, attention to detail, and the ability to manage large datasets while producing accurate and timely reporting for internal business operations. Key Responsibilities - Create, maintain, and distribute recurring internal operational reports - Compile and analyze data across multiple operational programs and business functions - Build dashboards and reporting tools to support internal operational decision-making - Prepare daily, weekly, monthly, and ad hoc reporting for operational leadership teams - Support operations leaders, workforce management, training, and internal support teams with reporting requests - Ensure data accuracy, consistency, and integrity across all reporting outputs - Consolidate data from multiple systems into standardized reporting formats - Identify reporting trends, operational insights, and performance opportunities - Develop automated reporting solutions to reduce manual reporting effort when possible - Maintain documentation for recurring reports, report definitions, and reporting processes - Assist leadership teams in identifying reporting gaps and process improvement opportunities - Support internal business reviews and operational performance analysis Technical Skills Required - Pivot Tables - VLOOKUP / XLOOKUP - Advanced Formulas and Functions - Conditional Formatting - Data Validation - Advanced Filtering and Sorting - Large Dataset Management - Data Cleaning and Manipulation Reporting & Business Intelligence Tools - Microsoft Power BI - Tableau Dashboard Development - Data Visualization and Dashboard Design - Reporting Automation Tools Microsoft Office Suite - PowerPoint presentation development - Word documentation - Outlook communication and organization Additional Technical Skills Preferred - Ability to work with large data sets from multiple systems - Experience combining data from multiple sources into standardized reporting outputs - Strong understanding of data organization and reporting logic Preferred Experience - 1–3 years of experience in reporting, data analysis, business analysis, or operational analytics - Experience supporting call center, customer service, contact center, or BPO environments preferred - Experience working in KPI-driven operational environments preferred - Familiarity with workforce management, operational reporting, or business intelligence functions preferred

• Define, document and execute functional, integration and automated test plans. • Ensure the quality of deliveries by identifying, logging and tracking bugs and defects. • Support the development team in requirements analysis, ensuring clarity and testability. • Validate new features, enhancements and fixes before production release. • Propose and implement continuous improvements to quality processes and testing practices. • Work closely with the Product Manager and developers to align expectations and ensure end-user satisfaction. • Monitor quality metrics and prepare reports to support decision-making.