分析咨询经理 / 高级经理（零售/快消品）
Manager / Senior Manager, Analytics Consulting (Retail/CPG)
Tiger Analytics 是一家先进的分析咨询公司。我们是多家财富 100 强公司的信赖的分析合作伙伴，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。我们的商业价值和领导力得到了包括 Forrester 和 Gartner 在内的多家市场研究机构的认可。
我们正在寻找一位以业务为导向、分析能力强的顾问，能够直接与业务领导者合作，理解复杂决策，挑战传统思维，并迅速将业务需求转化为数据和人工智能驱动的解决方案。
这不是一个传统的需求收集角色。该顾问需要了解业务运作方式，识别关键决策，确定所需的信息和分析，并迅速调动人工智能/代理工具、数据和专业团队来解决问题。
理想的候选人曾在使用数据和分析支持业务决策的环境中工作，并对学习和应用新兴人工智能技术充满热情。
职责
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理解业务和决策：与业务利益相关者互动，了解目标、经济性、流程、限制条件以及他们试图做出的决策——不仅仅是记录陈述的需求。
- 挑战并构建问题：提出正确的问题，挑战假设，并将模糊的业务问题转化为清晰的假设、分析和决策框架。
- 利用数据获得洞察：探索和解释数据，进行快速分析，识别模式，并将发现转化为业务影响和建议。
- 快速构建原型：使用 GenAI、代理人工智能、分析工具和低代码/无代码工具，快速探索想法、分析信息并开发可行的原型。
- 协调专业知识：识别何时需要更深入的专业知识，并有效利用数据科学家、工程师、领域专家、产品团队和人工智能代理，而不是独自构建一切。
- 从洞察到行动：用简单的商业语言传达发现，提出行动建议，并与利益相关者合作，将建议转化为可衡量的商业成果。
- 持续学习：快速尝试新兴的人工智能和技术能力，并识别它们如何显著改善商业决策。
- 要求
- 10+ 年
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. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are looking for a business-first, analytically strong consultant who can work directly with business leaders to understand complex decisions, challenge conventional thinking, and rapidly translate business needs into data- and AI-enabled solutions.
This is not a traditional requirements-gathering role. The consultant will be expected to understand how the business operates, identify the decisions that matter, determine what information and analysis are needed, and rapidly mobilize AI/Agentic tools, data and specialist teams to solve the problem.
The ideal candidate has operated in an environment where they have regularly used data and analysis to support business decisions and is excited about learning and applying emerging AI technologies.
Responsibilities
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Understand the business and the decision: Engage business stakeholders to understand objectives, economics, processes, constraints and the decisions they are trying to make—not simply document stated requirements.
- Challenge and structure problems: Ask the right questions, challenge assumptions and convert ambiguous business issues into clear hypotheses, analyses and decision frameworks.
- Use data to develop insights: Explore and interpret data, conduct rapid analyses, identify patterns and translate findings into business implications and recommendations.
- Rapidly prototype solutions: Use GenAI, Agentic AI, analytics and low-code/no-code tools to rapidly explore ideas, analyze information and develop working prototypes.
- Orchestrate expertise: Recognize when deeper expertise is required and effectively leverage data scientists, engineers, domain experts, product teams and AI agents rather than attempting to build everything independently.
- Drive from insight to action: Communicate findings in simple business language, recommend actions and work with stakeholders to translate recommendations into measurable business outcomes.
- Continuously learn: Rapidly experiment with emerging AI and technology capabilities and identify where they can materially improve business decision-making.
- Requirements
- 10+ years of experience in business analytics, strategy/management consulting, commercial analytics, operations, supply chain, finance, marketing/customer analytics, product management or a similar decision-oriented business environment.
- The person should demonstrate:
- Strong business curiosity and problem-solving ability.
- Experience working directly with business stakeholders and senior leaders.
- Prior experience working in Retail/CPG Industry strongly preferred.
- Strong analytical orientation and comfort working hands-on with data.
- Ability to move from business question → hypothesis → analysis → insight → decision/action.
- Ability to challenge stakeholders constructively rather than simply accepting requirements.
- Comfort operating with ambiguity and solving loosely defined problems.
- Strong written, verbal and executive communication skills.
- Working familiarity with analytical tools such as Excel, SQL, BI/visualization tools and/or Python.
- Strong interest and hands-on aptitude with GenAI, AI agents and emerging productivity/development tools.
- Ability to learn new technologies quickly without needing to be a deep software engineer.
- Ability to bring together business, analytics, technology and specialist teams to deliver solutions rapidly.
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