
1001 - 5000 employés
Fondée en 2011
🏥 Santé
📦 Logistique
📣 Marketing
Healthcare • Logistics • Marketing
Tiger Analytics est une société de conseil en IA et analyse de données de premier plan, spécialisée dans l'exploitation de la science des données et de l'apprentissage automatique pour fournir des insights stratégiques aux entreprises dans divers secteurs. Elle offre des services en stratégie de données, ingénierie de l'IA, et intelligence d'affaires pour permettre la prise de décisions basée sur les données et la transformation numérique de ses clients. Tiger Analytics collabore avec des partenaires technologiques de renom comme Microsoft, Google Cloud et AWS pour offrir des solutions de pointe. Elle intervient dans divers secteurs, y compris les biens de consommation courante, la santé et les finances, aidant les entreprises à opérationnaliser les insights et à se démarquer grâce aux technologies d'IA et d'apprentissage automatique.
🕒 il y a 3 mois
🗣️🇺🇸🇬🇧 Anglais requis
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1001 - 5000 employés
Fondée en 2011
🏥 Santé
📦 Logistique
📣 Marketing
Healthcare • Logistics • Marketing
Tiger Analytics est une société de conseil en IA et analyse de données de premier plan, spécialisée dans l'exploitation de la science des données et de l'apprentissage automatique pour fournir des insights stratégiques aux entreprises dans divers secteurs. Elle offre des services en stratégie de données, ingénierie de l'IA, et intelligence d'affaires pour permettre la prise de décisions basée sur les données et la transformation numérique de ses clients. Tiger Analytics collabore avec des partenaires technologiques de renom comme Microsoft, Google Cloud et AWS pour offrir des solutions de pointe. Elle intervient dans divers secteurs, y compris les biens de consommation courante, la santé et les finances, aidant les entreprises à opérationnaliser les insights et à se démarquer grâce aux technologies d'IA et d'apprentissage automatique.
• Lead bi-weekly allocation performance reviews with brand planning teams, covering service level, sales, GM$, GM%, GMROI, sell-through, and allocation accuracy. • Present KPI diagnostics with root-cause analysis: not just “what happened” but “why it happened” and “what we’re doing about it.” • Produce quarterly business reviews for executive leadership that synthesize allocation performance trends and strategic recommendations. • Leverage existing dashboards and alerting tools to monitor allocation outcomes across all brands at the store-SKU level. • Where tools are lacking, work with technical team to get the artifact built or enhanced. • Identify emerging issues before they become problems: sell-through falling behind pace, inventory building in the wrong stores, stockout patterns that signal a model or grading issue. • Decompose KPI misses into demand-side drivers (forecast accuracy, trend shifts) and supply-side drivers (misallocation, replenishment lag, pack constraints) to pinpoint actionable root causes. • Analyze outcomes across product lifecycle types (basics, seasonal basics, fashion) and tailor diagnostic frameworks to each. • Translate diagnostic findings into specific vendor improvement tickets with clear success criteria — push the vendor to improve their model where the data warrants it. • Define requirements for in-house diagnostic tools and work with the technical team to prioritize development. • Advise brand planning teams on allocation strategy decisions: store eligibility, DC holdback levels, size curve adjustments, replenishment throttling for end-of-season. • Own the vendor accountability framework: maintain the RACI, track vendor action rates, and escalate when commitments are not met. • Operate on a proactive communication cadence: reach out to stakeholders with findings and recommendations, don’t wait for them to ask. • Build trust as a fiduciary partner — the brands should believe you are watching their business and will advocate for their outcomes. • Manage the narrative during the transition from the prior consulting model: demonstrate early wins, set realistic expectations, and build confidence in the new capability.
• - 10+ years of experience in strategy consulting role, preferably serving retail clients. • - Deep understanding of fashion retail allocation and replenishment processes, including how strategies differ for basics, seasonal basics, and fashion/trend products. • - Fluency in retail KPIs: service level, sell-through, WOS, GMROI, allocation accuracy, markdown rate, and how allocation decisions drive each. • - Strong analytical intuition. You can look at a performance dashboard and quickly identify which numbers don’t make sense and where to dig deeper. • - Exceptional communication and executive presence: you are equally comfortable presenting to a VP of Merchandising and coaching a junior team member. • - MBA or equivalent advanced degree, or equivalent depth of experience in strategy and analytics. • ****Preferred** • - Direct experience at a multi-brand fashion retailer (specialty, department store, or fast fashion). • - Background that combines both operator experience (retailer-side) and advisory experience (consulting or vendor-side). • - Familiarity with statistical concepts used in allocation diagnostics: forecast accuracy metrics (MAPE, bias), variance decomposition, demand signal analysis. • - Experience building or managing a small team and working with contingent/contract technical resources. • - Comfort with ambiguity and building a function from scratch — this is not a role where you inherit a playbook; you write the playbook. • - Experience working with third-party allocation/planning vendors and managing vendor performance.
• 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.***
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