高级经理/高级总监 - 零售业务顾问 - 供应链分析(快消品)
Senior Manager/AD - Retail Business Consultant -Supply Chain Analytics (CPG)
Tiger Analytics 是一家先进的分析咨询公司。我们是多家财富 100 强公司的可信赖分析合作伙伴,帮助他们从数据中创造商业价值。我们的顾问在数据科学、机器学习和人工智能领域拥有深厚的专业知识。包括 Forrester 和 Gartner 在内的多家市场研究公司都认可了我们的商业价值和领导力。我们在大规模解决复杂分析问题方面具有优势,并在制药和生命科学等多个行业建立了交付有价值的数据驱动解决方案的声誉。
理想的候选人应具备实际分析经验、利益相关者管理以及团队领导经验,同时还应具备将业务挑战转化为可扩展数据解决方案的能力。
职责:
- 领导并管理交付供应链分析和数据迁移项目的海外团队
- 在业务利益相关者和技术团队之间起到桥梁作用,确保目标和交付成果的一致性
- 与高级客户利益相关者(总监/副总裁级别)沟通,了解业务背景并定义分析解决方案方法
- 将复杂问题分解为跨业务分析、数据科学和工程的结构化任务
- 指导和培养业务分析师和数据专业人员团队,以交付高影响力的解决方案
- 架构和设计可扩展的数据分析框架和解决方案
- 应用高级分析技术(机器学习、人工智能、优化、运筹学)解决业务问题
- 在企业生产环境中开发和维护预测和处方模型
- 构建和部署用于决策支持的模拟、优化和情景规划工具
- 与大型数据集协作,使用 SQL 和相关工具进行数据提取、转换和结构化
- 推动跨职能协作,交付创新的数据驱动解决方案
- 确保数据质量、验证和治理标准得到维护
- 将复杂的分析结果转化为清晰、可操作的业务洞察
要求
- 8–14 年专业经验,其中至少 5 年以上在商业/数据分析领域
- 必须有零售或快消品领域的经验
- 在电子商务商品策略、供应链方面有较强背景,具备需求计划、供应计划、运输和库存管理方面的经验
- 有有效与高管和副总裁级别人员沟通并产生影响的能力
查看英文原文
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognised our business value and leadership. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences.
The ideal candidate will bring a blend of hands-on analytics expertise, stakeholder management, and team leadership experience, along with the ability to translate business challenges into scalable data solutions.
RESPONSIBILITIES:
- Lead and manage offshore teams delivering supply chain analytics and data migration initiatives
- Act as a bridge between business stakeholders and technical teams to ensure alignment on goals and deliverables
- Engage with senior client stakeholders (Director/VP level) to understand business context and define analytics solution approaches
- Break down complex problems into structured tasks across business analysis, data science, and engineering
- Guide and mentor teams of business analysts and data professionals to deliver high-impact solutions
- Architect and design scalable data analytics frameworks and solutions
- Apply advanced analytics techniques (Machine Learning, AI, Optimization, Operations Research) to solve business problems
- Develop and maintain predictive and prescriptive models in enterprise production environments
- Build and deploy simulation, optimization, and scenario planning tools for decision support
- Work with large datasets to extract, transform, and structure data using SQL and related tools
- Drive cross-functional collaboration to deliver innovative, data-driven solutions
- Ensure data quality, validation, and governance standards are maintained
- Translate complex analytical outputs into clear, actionable insights for business stakeholders
Requirements
- 8–14 years of professional experience, with at least 5+ years in business/data analytics
- Mandatory experience in Retail or CPG domain
- Strong Ecommerce Merchandising Strategy , Supply Chain background with exposure to Demand Planning, Supply Planning, Shipping, and Inventory Management
- Demonstrated ability to effectively engage and influence executive and VP-level stakeholders
- Strong project and team leadership skills, with experience driving end-to-end delivery across global, cross-functional teams
- Strong foundation in statistical methods and machine learning, with the ability to analyze complex datasets and generate actionable insights
- Proven ability to structure ambiguous business problems into clear, data-driven analytical frameworks
- Strong hands-on expertise in Python and SQL
- Experience with data visualization tools such as Power BI
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Originally posted on Himalayas