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Levi Strauss & Co.

Inventor of blue jeans, sustainable apparel

Analyst – Sourcing & Supply Planning Analytics and Decision Intelligence

Supply Chain ManagementConfirmed live in the last 24 hours
Full-timeMexico City, CDMX, MexicoNo salary listed

About the Job

Requirements

  • A bachelor's degree in Supply Chain, Industrial Engineering, Operations, Analytics, Computer Science, Information Systems, Business or a related field.
  • At least 3 years of experience in sourcing, procurement, supply planning, inventory planning, supply chain analytics, data products, business intelligence or AI-enabled solution delivery.
  • Knowledge of one or more Sourcing or Planning areas and willingness to build end-to-end expertise across suppliers, purchase orders, capacity, lead times, inventory, constraints and product development.
  • Strong practical capability in SQL and data analysis, data profiling and validation, KPI logic, dimensional and semantic modeling, dashboard visualization and user-experience design.
  • Hands-on fluency in generative AI and AI-agent creation, including prompt and instruction design, grounding, context configuration, workflow or tool integration, testing, evaluation, human-in-the-loop controls, monitoring and responsible-AI practices.
  • Ability to structure ambiguous questions, analyze large datasets, identify drivers and exceptions, communicate findings and translate them into decisions or product features.
  • Experience or strong aptitude in discovery, requirements, prototyping, agile collaboration, user acceptance testing, documentation, training and iterative improvement.
  • Fluent English communication is required, with ability to work effectively with planners, sourcing teams, analysts, engineers, product teams and leaders across regions.
  • Proactive, self-directed and accountable, influencing through expertise, curiosity and responsiveness rather than authority.
  • Ability to connect individual metrics and analyses to service, inventory, working capital, supplier, sourcing, cost and enterprise outcomes.

Responsibilities

  • Partner with Sourcing and Planning stakeholders to understand decisions, pain points, workflows and opportunities and convert them into analytical requirements, user stories and actionable products.
  • Support Supply Planning analytics across supply-demand balancing, inventory and deployment planning, capacity and constraints, frozen horizon, lead times, backlog, service, reliability and planning exceptions.
  • Support Sourcing analytics across suppliers and factories, procurement, purchase-order execution, vendor on-time-in-full performance, purchase-order completeness, capacity, lead times, sourcing mix, cost, productivity, risk and corrective actions.
  • Analyze the purchase-order lifecycle from requisition and order creation through confirmation, changes, production and shipment milestones, need dates, delivery commitments and exception resolution.
  • Define and document key performance indicators, business rules, dimensions, grains, hierarchies, exclusions, targets and drill paths, and validate data quality and reconciliations across planning, procurement and supplier sources.
  • Work with IT Data & Analytics and Engineering to translate requirements into Google Cloud Platform data products and LookML semantic models, and test joins, measures, dimensions, lineage and controls.
  • Design, develop and iterate executive, tactical and operational dashboards in Google Looker, applying visualization, usability, scenario and exception-led design principles.
  • Create and refine generative AI and AI-agent pilots for use cases such as purchase-order visibility and exception management, supplier-risk analysis, planner copilots, lead-time intelligence, capacity risk and sourcing recommendations.
  • Configure agent prompts, business instructions, grounding context, tools or workflows, evaluations, guardrails and human-review steps; test output quality, reliability and user value before scaling.
  • Conduct exploratory, diagnostic and scenario analyses across demand changes, supply constraints, inventory strategies, supplier disruptions, sourcing mix, tariffs and service-cost trade-offs.
  • Support predictive and prescriptive models with feature and business-rule definition, test cases, business interpretation and user feedback.
  • Write user stories and acceptance criteria, support user acceptance testing, document solutions, train users and monitor adoption, usage and business impact.
  • Contribute to cross-functional squads and share reusable semantic patterns, dashboard components, analytical methods and agent designs across the Planning & Analytics team.
  • Deliver timely analyses and product requirements grounded in Sourcing and Planning decisions and workflows.
  • Produce reliable semantic definitions, intuitive dashboards and well-tested AI agents with clear documentation and controls.
  • Support successful pilots and scaled products that improve service, inventory, supplier performance, cost, risk, productivity or decision speed.

Desired Qualifications

  • Working familiarity with Google Cloud Platform and Google Looker / LookML is strongly preferred.

About the Company

Levi Strauss & Co.

Inventor of blue jeans, sustainable apparel

Levi Strauss & Co designs and markets apparel, most famously Levi’s blue jeans, along with brands Beyond Yoga and Levi Strauss Signature. The company creates denim and other clothing by designing fabrics, fits, and details (such as rivets, stitching, and washes) that people wear for everyday life. Its products work by combining durable materials, practical features, and consistent sizing to produce long-lasting jeans and casual wear that people can express themselves in. The company differentiates itself through a long history dating to 1873, a track record of setting labor and environmental guidelines in manufacturing, a portfolio of recognizable brands, and a commitment to ethics and sustainability. Its goal is to use its brands and influence to promote self-expression while embedding sustainability and responsible practices across its operations and supply chain.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1853

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