remote
Senior Data Analyst - Store Analytics - Tailored Brands
Data Analyst
Senior Data Analyst specializing in store analytics, driving insights through SQL, Python, and Tableau to optimize retail performance, support merchandising decisions, and improve the customer experience across physical and e‑commerce channels.
About the role
Key Responsibilities
- Design, develop, and maintain analytical dashboards and reports in Tableau to monitor store performance, inventory health, and sales trends.
- Extract, transform, and analyze large datasets from POS, ERP, and e‑commerce systems using SQL and Python.
- Collaborate with merchandising, operations, and marketing teams to define metrics, conduct A/B tests, and translate findings into actionable recommendations.
- Build and validate predictive and statistical models to forecast demand, optimize pricing, and improve store-level profitability.
- Document data definitions, analytical methodologies, and best practices to ensure consistency and reproducibility across the enterprise.
Requirements
- 5+ years of experience in data analysis or business intelligence within retail or a related industry.
- Advanced proficiency in SQL and Python for data extraction, manipulation, and statistical analysis.
- Strong expertise with Tableau (or comparable visualization tools) to create interactive, stakeholder‑focused dashboards.
- Demonstrated ability to apply statistical techniques, including hypothesis testing and A/B testing, to drive data‑backed decisions.
- Excellent communication skills and a collaborative mindset to partner with cross‑functional teams and present insights clearly.