At Bath & Body Works, the business problem is to align supply with demand using sophisticated analytics to ensure customers receive the right products, at the right time, driving both customer satisfaction and business performance.
Requirements
- Data Integration & Management: Experience with Snowflake or equivalent.
- Data Extraction & Transformation: Proficiency in SQL and Python for data manipulation, transformation, and automation.
- Data Visualization & Reporting: Proficiency in building self-service dashboards using MSI Dossier, Tableau, or Power BI.
- Supply Chain Management Expertise: In-depth knowledge of supply chain principles.
- Data Analytics Governance: Understanding of data governance principles including accuracy, security, accessibility, and compliance.
- Minimum of 3+ years of experience in a data analytics, data engineering, or supply chain analytics role.
- Proficiency in advanced programming techniques
Responsibilities
- Data Extraction & Transformation: Lead the extraction, transformation, and integration of large, complex datasets using advanced programming techniques to deliver actionable insights. Optimize and automate ETL processes to improve efficiency and scalability.
- Advanced Data Solutions: Design and implement predictive analytics, statistical modeling, and automated decision-support solutions to forecast trends and enable proactive business decision-making. Leverage advanced analytical techniques to translate business challenges into actionable insights and scalable solutions.
- Data Visualization & Reporting: Develop, deploy, and maintain interactive dashboards and data products to support both strategic leadership decisions and operational execution. Ensure solutions are intuitive, scalable, and aligned with business needs.
- Logistics Domain Expertise: Apply deep supply chain and logistics knowledge to design data-driven solutions that address business challenges and improve operational performance. Serve as a subject matter expert within the supply chain analytics space.
- Technical Leadership & Support: Provide technical guidance, mentoring, and knowledge sharing to other developers and analysts. Lead code reviews, promote standard processes in coding and solution design, and foster a collaborative environment for continuous learning and improvement.
- Cross-Functional Collaboration: Act as a strategic partner with cross-functional teams. Provide mentorship on standard methodologies, suggest creative ideas, and ensure technical outputs align with business objectives.
- Design and delivery of end-to-end data solutions
Other
- Minimum of 3+ years of experience in a data analytics, data engineering, or supply chain analytics role.
- Bachelor's degree required in a quantitative discipline such as Operations Research, Computer Science, Supply Chain Analytics, Business Analytics, or a related field.
- Master's degree preferred in a relevant field.
- Lead with Curiosity & Humility
- Build High Performing Teams for Today & Tomorrow
