Role Description We currently have an opportunity for a Data Analyst II – Marketing & Customer Analytics to join the Tailored Brands Enterprise Analytics team. The Data Analyst II – Marketing & Customer Analytics will partner closely with Marketing and other business stakeholders on customer and marketing activities. In this role, you will help evaluate performance, analyze customer behavior and acquisition, support testing and measurement, and identify opportunities to attract, retain, and delight customers. You will leverage your skills in data analysis, reporting, and storytelling to deliver quality analytical work that informs business decisions and drives measurable outcomes. Tailored Brands is a collaborative environment where people who are comfortable with ambiguity, curious about the business, and motivated to solve problems with data will thrive. If you enjoy working across business and technical teams, can connect the details to the big picture, and are excited to turn insights into action, we are looking for you. Qualifications - Bachelor’s degree in a technical or analytical field such as Statistics, Economics, Finance, Computer Science, Mathematics, Operations Research, Industrial Engineering, Marketing Analytics, or related experience. - 5+ years of experience in analytics, business analysis, or a similar role supporting cross-functional stakeholders. - Strong SQL skills and experience working with large datasets, including data extraction, transformation, and quality checks. - Experience with data visualization and reporting tools such as Tableau, Power BI, or Google Data Studio. - Experience analyzing customer, marketing, or digital performance data to uncover trends and opportunities. - Familiarity with marketing channels and external agencies including social, search, display, CRM, and other digital channels. - Familiarity with A/B testing methodology, test measurement, and interpreting results to improve marketing outcomes. - Comfort working with AI-enabled tools and technologies to accelerate analysis, improve productivity, and support business decision-making, including developing practical methodologies to QA AI-generated outputs and assess their reliability before use. - Strong ability to interpret data and turn it into practical business actions, recommendations, and prioritization decisions. - Strong practical business sense, with the ability to balance analytical rigor with real-world tradeoffs and translate insights into decisions that improve customer and business outcomes. - Strong communication and collaboration skills, with the ability to act as a bridge among business, analytics, and engineering teams. - Confidence to scrutinize analyses, identify limitations, and communicate where data quality or methodology may affect interpretation. - Familiarity with agile ways of working and tools such as Jira, GitHub, or Confluence is a plus. 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 – $142,350. 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.

Role Description We currently have an exciting opportunity for a Sr Data Analyst – Marketing Analytics to join the Tailored Brands Enterprise Analytics team. The Sr Data Analyst – Marketing Analytics will partner closely with Marketing and other business stakeholders on our customer and marketing activities – evaluating performance, analyzing customer acquisition, and identifying opportunities to attract, retain, and delight customers. In this role, you will leverage your skills in stakeholder management, data processing, experimentation, AI-enabled analytics, and storytelling to ensure quality analytical work that is impactful to business outcomes. You will also coordinate with senior leadership to understand what’s working, what we should change, and make thoughtful tradeoffs between tactics. Tailored Brands is a high-growth, collaborative environment where people who are comfortable with ambiguity and have an investigative mindset will thrive. If you love technology, have a grasp of the big picture, and communicate equally well with software engineers and business stakeholders, we are looking for you. Qualifications - 7+ years of experience in analytics, with progressive responsibility initiating, executing, and presenting projects for cross-functional teams. - Comfort working with AI-enabled tools and technologies to accelerate analysis, improve productivity, and support business decision-making. - Fluent with complex SQL queries and dataset transformations on large datasets. - Experience in quantitative marketing, including correlation, clustering, segmentation, regression, and marketing performance analysis. - Experience with advanced data visualization tools such as Google Data Studio, Tableau, or Power BI. - Strong ability to interpret data and turn it into practical business actions, recommendations, and prioritization decisions. - Strong practical business sense, with the ability to balance analytical rigor with real-world tradeoffs. - Familiarity with marketing channels and external agencies including social, search, and display. - Familiarity with A/B testing methodology, test design, measurement, and translating results into marketing actions. - Familiarity with evaluating performance of loyalty programs. - Strong communication and collaboration skills; acts as a bridge among business, analytics, and engineering teams. - Proven ability to deliver highly complex analytics projects involving methodology development, analysis, strategic recommendations, and presentation of findings. - Familiarity with agile methodologies such as Scrum or Kanban and project management software like JIRA, GitHub, and Confluence. - Confidence to scrutinize and share the limitations of analyses when the data isn’t perfect. - Bachelor’s degree in a technical field like Computer Science, Economics, Finance, Statistics, Operations Research, or Industrial Engineering, or relevant experience. 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 - 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 $106,800 – $163,600. 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 $222,394. Other compensation may include a 10% Annual Incentive Plan (AIP) bonus paid out according to policy. Base pay information is based on market location and may be subject to prevailing wage laws, if applicable.

Role Description We currently have an exciting opportunity for a Data Analyst II – Omni 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 merchandising and ecomm 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 ecomm and merchandising strategies. What You’ll Do | Key Accountabilities - 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. 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. - Google Analytics: Proficiency in analyzing data in GA is preferred. - 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. - 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 – $142,350. 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.

• Serve as a key operational partner to the Head of Compliance, Americas, helping drive execution of strategic priorities and key program initiatives. • Support the day-to-day operations and continuous improvement of the North America Compliance Program, ensuring alignment with OIG, DOJ, and industry expectations. • Manage and enhance compliance infrastructure, including policies, procedures, training records, risk assessments, monitoring plans, governance materials, and documentation repositories. • Coordinate compliance governance activities, including committee meetings, leadership reporting, and tracking of action items and remediation efforts. • Lead or support cross-functional projects, business initiatives, system implementations, and organizational changes to ensure appropriate compliance controls are embedded. • Identify opportunities to improve operational effectiveness, scalability, and consistency across compliance processes, systems, and tools. • Lead the development and maintenance of compliance dashboards, reporting, and analytics that provide meaningful insights into program effectiveness and emerging risks. • Analyze data from key business activities and compliance systems to identify trends, anomalies, and opportunities for proactive risk mitigation. • Support compliance monitoring, auditing, investigations, and risk assessments through data analysis and reporting. • Partner with Compliance leadership and cross-functional stakeholders to translate data into actionable recommendations and informed decision-making. • Continuously enhance analytics capabilities, monitoring methodologies, and reporting tools to support a modern, risk-based compliance program. • Support the execution of risk-based monitoring and auditing activities across commercial, medical, patient support, and other business functions. • Track remediation activities and help ensure timely resolution of identified compliance risks and control gaps.