Note: The job is a remote job and is open to candidates in USA. Tailored Brands is a leading specialty retailer of menswear, and they are seeking a Sr Data Analyst – Store Analytics to join their Enterprise Analytics team. The role involves serving as a strategic analytics partner to drive understanding of store performance through complex analyses, developing actionable recommendations, and influencing decisions to improve various business metrics.

Responsibilities

• 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

Skills

• 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
• 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
• 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

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
• 10% Annual Incentive Plan (AIP) bonus paid out according to policy

Company Overview

Company H1B Sponsorship