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.

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.

Role Description We currently have an exciting opportunity for Staff Accountant II - Financial Reporting and Accounting Policy to join the Tailored Brands Accounting team. The Staff Accountant II will report to the Manager, Financial Reporting & Accounting Policy. This is a remote position. The Staff Accountant II will be responsible for assisting with key components of the external reporting process, including: - Preparation support, tie-outs, and documentation for SEC filings (including Forms 10-K, 10-Q, 8-K and related disclosures) - Assisting with the quarterly earnings release - Preparing journal entries and account reconciliations - Contributing to internal reporting - Supporting technical accounting analysis, with exposure to areas such as equity and share-based compensation This position offers the opportunity to work cross-functionally with FP&A, Investor Relations, Treasury, and Corporate Accounting, while gaining hands-on experience in public company reporting, SEC compliance, and technical accounting as well as assisting with monthly internal management reporting. The ideal candidate is highly detail-oriented, execution-focused, and able to operate effectively in a fast-paced, deadline-driven reporting environment. Qualifications - Bachelor’s degree in Accounting - CPA or progress toward CPA preferred - 3+ years of accounting experience, with public accounting or public company experience preferred - Foundational knowledge of U.S. GAAP and SEC reporting requirements - Experience supporting financial statement preparation, SEC filings, and/or audit processes - Strong proficiency in Excel and familiarity with ERP and reporting tools (e.g., PeopleSoft, Hyperion, Blackline, Workiva) - Highly detail-oriented with strong organizational skills and ability to manage multiple priorities in a deadline-driven environment - Strong analytical and problem-solving skills, with a focus on accuracy and completeness - Effective written and verbal communication skills, with the ability to collaborate across functions and levels - Demonstrated ability to work independently and as part of a team, with a proactive and solutions-oriented mindset - Ability to quickly learn new systems and processes in a fast-paced public company reporting environment - High level of professionalism, initiative, and work ethic 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 - Health, dental and vision insurance - Prescription drug coverage - 401k - Life insurance - Accident and disability insurance - Paid time off for sick leave - Vacation (80 hours per year) - Bereavement leave - Jury duty leave - Holidays (9 days per year) - Wellbeing program - Commuter assistance - Adoption assistance - Legal services - Employee merchandise discounts Work-Life Balance - 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 $70,200 – $117,000 and may increase to $146,300 depending on merit, length of service with the Company, and other factors. We take into consideration an individual’s skills, background, and experience in determining final salary. Base pay information is based on market location and may be subject to prevailing wage laws, if applicable. Note: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required and are not intended to be an exhaustive list of all duties, responsibilities or qualifications associated with this job.

Role Description We currently have an exciting opportunity for a Senior Customs Compliance Manager to join our Legal team, reporting to a Legal Department Vice President. This role will lead and strengthen Tailored Brands’ U.S. customs compliance program, helping ensure imports are managed in accordance with applicable Customs and Border Protection requirements, internal controls, and company policies. - Lead the company’s customs compliance program for imported goods, including oversight of policies, procedures, controls, and governance related to U.S. import activity. - Customs compliance oversight with customs brokers and external advisors, including expectations for accuracy, responsiveness, documentation, and escalation handling in coordination with Logistics and Transportation. - Oversee customs classification, valuation, country-of-origin, duty, fee, and recordkeeping practices to support compliant entry activity and reduce risk. - Manage importer-of-records (IOR) compliance across company’s legal entities, including recordkeeping, entity transitions and communications with carriers and customs brokers to ensure continuity of compliant import activity. - Partner with Supply Chain, Logistics, Finance, and other business teams to review import processes, identify control gaps, and implement practical improvements. - Identify and pursue duty recovery and optimization opportunities, including preferential tariff programs, tariff rate quotas (TRQ), duty drawback and applicable trade agreement benefits, in coordination with Finance, Supply Chain and Sourcing. - Collaborate with Finance and Accounting on duty accruals, landed cost modeling, broker invoice reconciliation, and compliance-related reporting. - Direct internal monitoring and periodic compliance reviews, including post-entry validation, broker performance review, issue resolution, and remediation tracking. - Lead the company’s response to customs audits, inquiries and regulatory matters, including management of prior disclosures, by coordinating entry-level documentation, issue identification, financial exposure quantification, and business responses, and legal review in coordination with internal and outside trade counsel. - Monitor and manage compliance with forced labor import restrictions (UFLPA and related enforcement), including coordination with Supply Chain, Sourcing and corporate responsibility function on supplier documentation and withhold release order (WRO) risk. - Monitor changes in customs laws, regulations, rulings, trade programs, and enforcement priorities, and translate them into clear business guidance and process updates. - Coordinate with CTPAT program owner on import-related security requirements as applicable. - Develop training, playbooks, and operating standards that build and develop internal capability and ensure consistent execution by internal and external partners involved in import activity. - Other duties as assigned. Qualifications - Bachelor’s degree required; degree in Business, Supply Chain, International Trade, Legal Studies, Finance, or a related field preferred. - 8+ years of progressive experience in customs compliance, global trade compliance, import operations, trade advisory, or a related field. - Strong working knowledge of U.S. Customs and Border Protection regulations, import controls, HTS/HS tariff classification, valuation, country of origin, broker management, duty and fee compliance, Automated Commercial Environment (ACE) portal, and customs documentation requirements, preferably with knowledge of apparel and textile classifications. - Proficiency in customs valuation methodologies including transaction value, assists, and royalties and ability to identify, quantify, and remediate customs valuation exposure in complex multi-tier sourcing structure. - Experience with U.S. free trade agreement programs, including CAFTA-DR, USMCA, short supply provisions, AGOA, rules of origin analysis, and related documentation requirements. - General knowledge of Customs-Trade Partnership Against Terrorism (CTPAT). - Experience building, assessing, or strengthening internal controls, preferably in an environment with audit, remediation, or public-company readiness expectations. - Demonstrated ability to lead cross-functional work and project management across Legal, Supply Chain, Logistics, Finance, Sourcing and Design, and external partners. - Strong judgment, analytical capability, and problem-solving skills, with the ability to balance compliance rigor and business practicality. - Excellent written and verbal communication skills, including the ability to translate technical customs requirements into clear guidance for business stakeholders. - Strong analytical and problem-solving abilities; comfortable working with data, identifying gaps, and challenging assumptions. - High degree of professional judgment, integrity, and discretion in handling sensitive information and balancing risk with business practicality. - Demonstrated ability to build trust and influence across functions and levels, including senior leadership and external partners. - Licensed Customs Broker credential strongly preferred. Experience in retail, sourcing, apparel, or other high-volume import environments is strongly 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 U.S. location. Periodic travel to corporate offices may be required. 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 $100,000–130,000. 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 $160,000. 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 - eCommerce Analytics to join the Tailored Brands Enterprise Analytics team. As Data Analyst – eCommerce Analytics, your primary responsibility will be to extract actionable insights from data to optimize ecommerce performance with insights from site content, promotions, customer behavioral data, marketing strategies, and market data, just to name a few. You will collaborate with ecommerce product management, category management, and site operations teams to drive data-driven decisions. The primary goal is providing insights for the ecommerce and marketing teams to guide, monitor and measure their strategies. What You’ll Do | Key Accountabilities - Data Collection: Partner with operations to track customer actions on the website through Google Tag Manager and Google Analytics. - Data Analysis: Dive deep into customer behavior data in Google Analytics, sales data in Snowflake, and aggregated data in Power BI dashboards to identify trends, patterns, and opportunities to increase conversion, average order value, and traffic. - Reporting: Create clear, concise, and insightful dashboards via Power BI, Looker Studio, and Excel Pivots. - 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 ecommerce or analytics. - Google Analytics: Proficiency in analyzing data in GA is required. - SQL: Proficiency in querying databases for data extraction is required. - Data Visualization: Experience visualizing insights effectively using Power BI, Tableau or similar tools (Power BI 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. Compensation The starting salary for this position is $70,200 – $110,000. 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 $146,300. 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 – Store Analytics, to join the Tailored Brands Enterprise Analytics team. The Sr Data Analyst – Store Analytics serves as a strategic analytics partner to Stores leadership and enterprise leaders, driving deeper understanding of store performance through diagnostic and exploratory analysis. This role goes beyond reporting to identify root causes of business performance, uncover opportunities, develop actionable recommendations, and influence decisions that improve sales, productivity, customer experience, and operational effectiveness. The Sr Analyst independently leads complex analyses, develops scalable analytical frameworks, partners closely with business leaders and Data Engineering, and helps shape the evolution of the Store Insights capability. What You’ll Do | Key Accountabilities - Lead complex diagnostic and ad hoc analyses that identify root causes of store performance, quantify business opportunities, and guide strategic decision-making across Stores. - Independently frame ambiguous business questions, formulate analytical approaches, synthesize multiple data sources, and translate findings into executive-ready recommendations. - Perform root cause analysis to explain sales trends, labor productivity, conversion, customer behavior, and operational performance, developing hypotheses and validating findings through quantitative analysis. - Proactively identify emerging risks and opportunities across the store fleet by monitoring leading performance indicators and conducting exploratory analyses. - Develop and maintain enterprise Power BI dashboards and analytical solutions that enable leaders to self-serve insights while ensuring metric governance and reporting consistency. - Serve as a key analytics partner in the migration from Tableau to Power BI by leading report validation, metric reconciliation, user acceptance testing, and adoption of standardized reporting. - Partner with Data Engineering and business stakeholders to validate semantic-layer logic, metric definitions, data quality, and reporting consistency. - Drive development of scalable Store Insights capabilities by identifying repeatable analytical opportunities, automating recurring analyses, and advancing self-service analytics. - Present findings and recommendations to senior leaders, influencing business strategy through clear storytelling and data-driven insights. - Support store growth analytics initiatives through data preparation, exploratory analysis, performance tracking, and post-investment measurement for new stores, remodels, and market activations. - Develop repeatable analytics workflows that reduce manual reporting effort and improve the speed, quality, and consistency of insight delivery. - Create executive-ready charts, tables, dashboards, and written summaries that communicate findings clearly to both technical and non-technical audiences. - Apply advanced analytics tools and techniques, including SQL, Power BI, Python, and external data sources, to solve complex business problems and continuously improve analytical capabilities. - Recommend new metrics, analytical approaches, and measurement frameworks that improve how Stores evaluate performance and make decisions. Qualifications - Bachelor’s degree in Analytics, Statistics, Economics, Mathematics, Business, Information Systems, or a related field; advanced degree a plus. - 8+ years of progressive experience in analytics, business intelligence, consulting, retail analytics, or related quantitative disciplines, with demonstrated success solving complex business problems through data. - Demonstrated experience performing diagnostic, root cause, and exploratory analyses that influenced business decisions. - Proven ability to work independently with minimal direction, prioritize competing initiatives, and manage multiple high-impact analytical projects. - Experience presenting analytical findings to senior leadership and influencing cross-functional stakeholders. - Advanced SQL proficiency with experience optimizing complex queries and working with large enterprise datasets. - Strong experience with Power BI, semantic models, DAX, and modern BI best practices. - Working knowledge of Python, statistical analysis, and modern analytics workflows. - Experience applying statistical methods, experimentation, forecasting, or predictive techniques is preferred. - Experience in retail, multi-unit operations, consumer analytics, or store performance analytics strongly preferred. - Strong attention to detail and demonstrated experience with data validation, KPI governance, and metric consistency. - Ability to synthesize findings into clear written and verbal recommendations for business stakeholders. - Experience working with cross-functional partners to translate business questions into analytical solutions. 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 $106,800 – $145,000. 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 Sr Store Analytics Manager to join the Tailored Brands Enterprise Analytics team. The Sr Store Analytics Manager is the lead analytical partner for store-growth decisions. You will help shape where Tailored Brands grows, how new opportunities are evaluated, how store maturity and network effects are understood, and how store tests and investments are measured after launch. This is a senior strategy-and-analytics role for someone who can pair quantitative rigor with executive-ready communication. What You’ll Do | Key Accountabilities - Translate complex forecasts and analytical findings into clear business recommendations, including risks, sensitivities, and executive-ready decision frameworks. - Establish and standardize analytical methodologies, assumptions, governance practices, and decision frameworks across store-growth initiatives. - Lead store maturity and sales ramp analyses to validate long-term performance assumptions and establish the foundation for next-generation forecast capabilities. - Design, execute, and communicate test-and-learn analyses for new store openings, remodel programs, market activations, and other strategic investments. - Develop and enhance predictive models that improve location selection, forecast accuracy, and understanding of drivers of store performance, including emerging work in gravity modeling, co-tenancy analysis, and market potential estimation. - Leverage internal performance data and external datasets—including mobility, consumer spend, demographic, and competitive intelligence sources—to evaluate market opportunities, quantify demand potential, and strengthen store-growth recommendations. - Partner closely with Real Estate, Store Operations, Merchandising, Finance, Data Engineering, and executive leadership to align analytical recommendations with business strategy. - Mentor analysts and contribute to the long-term analytics roadmap by identifying new opportunities to apply advanced analytics, machine learning, and external market data to drive profitable growth. Qualifications - Bachelor’s degree in Analytics, Statistics, Economics, Mathematics, Business, Data Science, Geography, or a related quantitative field; advanced degree preferred. - 10+ years of experience in analytics, strategy, retail, real estate, consulting, consumer insights, or a related field. - Strong SQL, Excel, and Python skills, with experience transforming large datasets into actionable business recommendations. - Experience building, evaluating, or operationalizing forecasting models, predictive analytics, experimentation frameworks, or other decision-support methodologies. - Familiarity with location intelligence, trade-area analytics, site selection, market planning, geospatial analysis, or related retail growth disciplines. - Experience working with external data sources such as mobility, consumer spend, demographic, competitive, or market intelligence datasets. - Strong analytical problem-solving skills, including the ability to evaluate uncertainty, quantify risk, and develop data-driven recommendations. - Proven ability to communicate complex analyses and recommendations to senior leaders and cross-functional stakeholders. - Experience partnering across functions including Real Estate, Operations, Finance, Merchandising, Data Science, or Data Engineering. - Curiosity, strong business judgment, and a continuous-improvement mindset with a passion for using data to drive growth decisions. 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) to catch up on work and self-development. - Summer Fridays from Memorial Day to Labor Day for a head-start to the weekend. - Holiday Early Departure to close out early the business day before a company observed holiday. The starting salary for this position is $122,700 - $188,000. 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 $255,694. 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 Design, develop, and maintain interactive, user-centric web applications that deliver seamless digital experiences. Focus primarily on front-end technologies while supporting some server-side integrations and emerging AI-driven functionalities. - Contribute to building responsive interfaces, optimizing performance, and incorporating intelligent features such as chatbots, recommendation systems, and data-driven personalization. - Provide Front-End Development: - Develop, enhance, and maintain customer-facing web applications and internal tools using HTML5, CSS3, JavaScript, Node.js, JSON, and XML. - Translate UI/UX designs and wireframes into responsive, accessible, and cross-browser-compatible web interfaces. - Build and integrate RESTful APIs and third-party services to extend application functionality. - Optimize front-end performance for speed, scalability, and accessibility. - Create reusable code libraries and UI components following established development standards. - Provide AI and Automation Integration: - Collaborate with product and AI engineering teams to integrate AI-powered features such as chatbots or conversational assistants. - Implement personalized recommendations using AI-driven algorithms and search optimization using semantic or generative AI models. - Use AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT API) to enhance development speed and code quality. - Implement predictive UI logic or automated testing using AI-based frameworks. - Contribute to data labeling, model feedback loops, or front-end interfaces for AI model outputs. - Stay up to date with AI/ML technologies relevant to front-end applications, such as generative design, NLP-based interactions, and adaptive UI systems. - Deliver Collaboration and Standards: - Partner with back-end engineers, designers, and product managers to deliver high-quality digital experiences. - Participate in code reviews, sprint planning, and agile ceremonies to ensure delivery of robust and maintainable software. - Develop unit, integration, and regression tests to maintain code reliability. - Maintain technical documentation, including design specs, testing reports, and release notes. - Establish and communicate front-end best practices, coding guidelines, and performance standards. - Provide Continuous Improvement: - Research, prototype, and evaluate emerging front-end and AI frameworks to enhance product capabilities. - Analyze user data and behavior metrics to suggest data-informed UX improvements. - Proactively identify opportunities to automate repetitive processes or improve performance through AI-driven tooling. Qualifications - Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or closely related field. - 2 years relevant professional experience, including: - 2 years of experience with HTML5, CSS3, JavaScript, and jQuery. - 2 years of experience with Node.js, JSON/XML data structures, and API integrations. - 1 year of experience with AI concepts or practical use of AI-powered development tools. - 2 years of experience in responsive design, web accessibility (WCAG), and cross-browser compatibility. - 1 year of experience with version control (Git) and modern build tools (Webpack, NPM, etc.). Requirements - Employee may work from any location in the United States subject to company remote work policy. - 40 hrs/wk; 8:00 am to 5:00 pm Mon-Fri. - Salary $84,094 – $104,094/yr.