Retail Analyst, Team Lead
פורסם לפני 16 ימים · 0 מועמדים
התפקיד במילים פשוטות
התפקיד כולל הובלה וניהול של צוות אנליזה האחראי על נתוני הקמעונאות ותהליכי המלאי וההצטיידות מחדש בחברה. המוביל בתפקיד זה ינתח מגמות מכירות ומלאי, יפתח דוחות ולוחות בקרה, ויתאם את המשלוחים מול המחסנים ומנהלי החנויות בארה"ב ובבריטניה.
- BA/BSc from a leading academic institution in a relevant field
- 2-3 years of experience managing a team
- Strong analytical skills with hands-on experience in data analysis
- Proficiency in Excel/Google Sheets
- Proficiency in data visualization tools
- Shopify
- Magento
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים לבעלי תואר אקדמי רלוונטי עם ניסיון של שנתיים עד שלוש בניהול צוות, רצוי בתחומי הקמעונאות, שרשרת האספקה או האנליזה. הוא פחות יתאים למי שאין לו ניסיון ניהולי קודם או רקע חזק בניתוח נתונים ועבודה עם אקסל.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןEdikted is a high-growth, global fashion-tech brand dedicated to the Gen-Z market. Since our inception, we have scaled rapidly by leveraging a data-driven, digital-first business model that allows us to react to global trends in real-time. Operating at a significant international scale, our Finance department manages complex cross-border transactions, high-volume reconciliations, and multi-currency reporting. We offer a professional environment that combines the agility of a startup with the sophisticated financial infrastructure of an established global retailer.
We're looking for a Retail Analyst, Team Lead to lead our retail data and replenishment operation, turning data into actionable insights that drive growth and decision-making across the company. You'll manage a team responsible for reporting, KPIs, and analytical processes supporting core business areas such as retail performance, inventory management, and replenishment strategy, while owning the end-to-end relationship with store managers across the US and UK.
Responsibilities:
• Lead and manage the retail analytics team, overseeing day-to-day performance, workload, and professional development.
• Own the end-to-end replenishment process, including data analysis, product allocation, discount planning, and warehouse shipment coordination.
• Analyze sales data and inventory trends to optimize stock, while helping design and refine a replenishment algorithm/model.
• Develop and maintain dashboards and reports to track retail performance and provide actionable insights to leadership.
• Serve as the main point of contact for US and UK store managers and collaborate closely with supply chain, fulfillment, and warehouse teams.
• Act as a key stakeholder in cross-functional projects, ensuring retail priorities are represented and operational processes are aligned across departments
• Partner cross-functionally with Merchandising, Planning, E-commerce, Finance, Operations, Supply Chain, Marketing, and Product teams to align inventory strategies with broader business objectives.
Requirements:
• BA/BSc from a leading academic institution in a relevant field.
• 2-3 years of experience managing a team, ideally within retail, supply chain, or data analytics.
• Strong analytical skills with hands-on experience in data analysis, preferably in retail, supply chain, or inventory management.
• Proficiency in Excel/Google Sheets and data visualization tools.
• Fluent in English, both written and verbal.
• Previous experience working with e-commerce platforms (such as Shopify or Magento)- an advantage.
• Strong cross-functional collaboration and stakeholder management skills, with the ability to influence decisions across multiple departments.
• Proven ability to balance analytical thinking with business judgment and communicate insights effectively to both technical and non-technical stakeholders.
• Experience working in a fast-paced, cross-functional retail or e-commerce environment - is an advantage.
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- BA/BSc from a leading academic institution in a relevant field, 2-3 years of experience managing a team, Strong analytical skills with hands-on experience in data analysis, Proficiency in Excel/Google Sheets, Proficiency in data visualization tools