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
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