高级分析师 - 供应链与商品管理
Senior Analyst - Supply Chain and Merchandising
高级分析师
供应链与商品管理
关于Keplr Vision
Keplr Vision是一家提供管理服务的组织，为独立验光师私人诊所提供支持，为美国250多个地点提供强大的业务支持服务和供应链管理。Keplr通过有机增长和战略收购继续扩大其地理覆盖范围。
职位描述与职责
该职位的主要职责是作为我们管理服务组织的一部分，挖掘并为独立验光师诊所提供患者和供应链洞察。这包括利用数据和分析生成可操作的见解，帮助制定公司战略，管理预算并实施度量和分析流程。
优秀的候选人应具备成长型思维，促进持续学习和发展文化。该职位的人员应准备好在创业环境中茁壮成长。向高级供应链与库存总监汇报。
供应链分析
通过开发分析来推动数据驱动的供应链决策，以优化库存表现、供应商管理和需求计划。
主要职责
开发库存健康状况、采购和供应商绩效仪表板及KPI。
监控和分析库存周转率、补货率、服务水平和第三方物流（3PL）运营表现。
构建需求预测模型，以改善采购和补货决策。
通过统计分析和预测建模识别趋势、风险和机会。
与供应链、采购和运营部门合作，提高库存效率并降低成本。
使用Databricks、Power BI、SQL和Python构建可扩展的分析和报告解决方案。
商品分析
通过高级报告、商品组合分析和门店规划提供商品管理洞察，以最大化产品表现。
主要职责
使用Databricks和Power BI设计和维护高管仪表板和运营报告。
分析按诊所、市场和客户细分的商品组合，以提高销售表现。
开发门店规划和商品组合优化模型。
监控售罄率、库存生产力和品类表现。
通过报告和分析提供可操作的见解，支持商品策略、商品组合决策和业务增长
商品财务规划
支持…
查看英文原文
Sr. Analyst
Supply Chain & Merchandising
About Keplr Vision
Keplr Vision is a managed services organization that works in support of private practice independent optometrists, providing robust business support services and supply chain management to over 250 locations across the United States. Keplr continues to expand geographically through organic growth and strategic acquisitions.
GENERAL JOB DESCRIPTION & RESPONSIBILITIES
The primary responsibility of this position is to mine and deliver patient and supply chain insights for independent optometry practices as part of our managed services organization. This includes leveraging data and analytics to generate actionable insights and help shape the company strategy, managing budgets and implementing measurement & analytics processes.
Strong candidates should possess a growth mindset that fosters a culture of continuous learning and development. The person in this role should be prepared to thrive in an entrepreneurial environment. Reporting to the Sr. Director of Supply Chain and Inventory.
Supply Chain Analytics
Drive data-driven supply chain decisions by developing analytics that optimize inventory performance, vendor management, and demand planning.
Key Responsibilities
Develop inventory health, procurement, and supplier performance dashboards and KPIs.
Monitor and analyze inventory turns, fill rates, service levels, and 3PL operational performance.
Build demand forecasting models to improve purchasing and replenishment decisions.
Identify trends, risks, and opportunities through statistical analysis and predictive modeling.
Partner with Supply Chain, Procurement, and Operations to improve inventory efficiency and reduce costs.
Utilize Databricks, Power BI, SQL, and Python to build scalable analytics and reporting solutions.
Merchandise Analytics
Provide merchandising insights through advanced reporting, assortment analysis, and location planning to maximize product performance.
Key Responsibilities
Design and maintain executive dashboards and operational reports using Databricks and Power BI.
Analyze merchandise assortments by practice, market, and customer segment to improve sales performance.
Develop location planning and assortment optimization models.
Monitor sell-through, inventory productivity, and category performance.
Deliver actionable insights that support merchandising strategy, assortment decisions, and business growth through reporting and analysis
Merchandise Financial Planning
Support merchandise financial planning through forecasting, financial modeling, and profitability analysis.
Key Responsibilities
Develop bottom-up merchandise financial forecasts and annual operating plans.
Forecast and analyze key merchandising KPIs including Average Unit Cost (AUC), Average Unit Retail (AUR), Gross Sales, Margin, Inventory, and Net Revenue.
Perform markdown, promotional, and discount analysis to identify opportunities to improve profitability.
Conduct variance analysis against financial plans and recommend corrective actions.
Provide financial insights and scenario modeling to support pricing, assortment, and inventory investment decisions.
EXPERIENCE & SKILLS
The ideal candidate will have:
Bachelor's degree in Business, Supply Chain Management, Finance, Data Analytics, or a related field.
5+ years of experience in Supply Chain Analytics, Merchandise Analytics, Merchandise Financial Planning, or Business Intelligence.
Experience developing inventory, demand planning, and 3PL performance analytics.
Strong understanding of merchandise financial planning concepts including forecasting, Open-to-Buy (OTB), AUC, AUR, Gross Sales, Margin, and inventory management.
Experience building bottom-up financial forecasts and KPI dashboards.
Advanced proficiency with Databricks, Power BI, SQL, and Excel; Python experience is a plus.
Experience building executive dashboards, automated reporting, and self-service analytics.
Knowledge of assortment planning, location planning, and merchandise performance analytics.
Strong analytical and problem-solving skills with the ability to translate complex data into actionable business recommendations.
Experience performing pricing, markdown, promotional, and discount analysis.
Excellent communication and presentation skills with the ability to influence cross-functional business partners.
Detail-oriented with strong organizational skills and a continuous improvement mindset.
Experience with ERP, merchandising, inventory management, or supply chain systems (NetSuite experience preferred).
OTHER DUTIES & INFORMATION
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Status: Full-time (FT)
Exemption: Exempt
Originally posted on Himalayas