Senior Data Analyst

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.