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Tiger Analytics

Delivers Data and AI transformation

Strategy Consultant - Allocation & Replenishment

Strategy & Management ConsultingConfirmed live in the last 24 hours
Full-timeNew York, NY, USANo salary listedRemote

About the Job

Requirements

  • At least 10 years of experience in a 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 or trend products.
  • Fluency in retail key performance indicators, including service level, sell-through, weeks of supply, gross margin return on investment, allocation accuracy, and markdown rate, and understanding of how allocation decisions drive each.
  • Strong analytical intuition to interpret performance dashboards, identify anomalous metrics, and determine where to investigate further.
  • Ability to present to a Vice President of Merchandising and coach a junior team member.
  • An MBA or equivalent advanced degree, or equivalent depth of experience in strategy and analytics.

Responsibilities

  • Lead bi-weekly allocation performance reviews with brand planning teams, covering service level, sales, gross margin dollars, gross margin percentage, gross margin return on investment, sell-through, and allocation accuracy.
  • Present key performance indicator diagnostics with root-cause analysis, explaining what happened, why it happened, and what actions are being taken.
  • Produce quarterly business reviews for executive leadership that synthesize allocation performance trends and strategic recommendations.
  • Use existing dashboards and alerting tools to monitor allocation outcomes across all brands at the store and stock-keeping-unit level.
  • Work with the technical team to build or enhance diagnostic tools when existing tools are lacking.
  • Identify emerging issues, including sell-through falling behind pace, inventory building in the wrong stores, and stockout patterns that may indicate model or grading issues.
  • Decompose key performance indicator misses into demand-side drivers, such as forecast accuracy and trend shifts, and supply-side drivers, such as misallocation, replenishment lag, and pack constraints, to identify actionable root causes.
  • Analyze outcomes across product lifecycle types, including basics, seasonal basics, and fashion, and tailor diagnostic frameworks to each.
  • Translate diagnostic findings into vendor improvement tickets with clear success criteria, and press vendors to improve their models when supported by data.
  • Define requirements for in-house diagnostic tools and work with the technical team to prioritize development.
  • Advise brand planning teams on allocation strategy decisions, including store eligibility, distribution center holdback levels, size curve adjustments, and end-of-season replenishment throttling.
  • Own the vendor accountability framework, maintain the RACI, track vendor action rates, and escalate when commitments are not met.
  • Proactively communicate findings and recommendations to stakeholders.
  • Build trust as a fiduciary partner by monitoring brand performance and advocating for brand outcomes.
  • Manage communications during the transition from the prior consulting model, demonstrate early wins, set realistic expectations, and build confidence in the new capability.

Desired Qualifications

  • Direct experience at a multi-brand fashion retailer, such as a specialty retailer, department store, or fast-fashion retailer.
  • A background combining retailer-side operator experience with advisory experience in consulting or on the vendor side.
  • Familiarity with statistical concepts used in allocation diagnostics, including forecast accuracy metrics such as mean absolute percentage error and bias, variance decomposition, and demand signal analysis.
  • Experience building or managing a small team and working with contingent or contract technical resources.
  • Comfort with ambiguity and building a function from scratch, including writing the playbook rather than inheriting one.
  • Experience working with third-party allocation or planning vendors and managing vendor performance.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2010

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