Senior demand analytics & ai enablement analyst
location: mexico city, mex, mx
work arrangement: hybrid
function: supply chain
reports to: director, demand planning & s&op
the senior demand analytics & ai enablement analyst is a planner-facing role within the north america demand planning organization. This position focuses on standardizing demand analytics, improving forecast diagnostics, and enabling demand planners through advanced analytics and ai‑powered tools, including microsoft copilot and other llm‑based solutions. The role does not own the demand forecast but acts as a force multiplier for demand planners by creating repeatable, trusted analytical frameworks, standard reports, and ai‑enabled insights that improve forecast accuracy and support s&op decision making.
Key responsibilities
demand analytics & forecast diagnostics
develop standardized analytics to evaluate forecast accuracy, bias, volatility, and error drivers.
Perform root cause analysis of forecast error across sku, brand, channel, and customer levels.
Create pareto-based views identifying key drivers of forecast error.
Analyze demand, shipment, and pos relationships to surface risks and misalignment.
Ai & copilot enablement
design and maintain ai‑assisted analytical workflows to support demand planners.
Build and manage a library of approved copilot prompts and analytics use cases.
Embed ai‑generated insights into excel, power bi, and planning workflows.
Ensure outputs are explainable, consistent, and trusted.
Standard reporting & insight generation
own development of standard demand planning reports and narratives.
Translate complex analysis into executive‑ready insights.
Enable exception‑based management through automated diagnostics.
Collaboration & enablement
partner closely with demand planners to eliminate manual analysis.
Collaborate with supply planning, commercial, and finance teams.
Train planners on interpretation and use of standardized analytics.
Qualifications
3+ years experience in demand planning, forecasting, or demand analytics.
Experience in cpg or high‑sku environments.
Strong analytical and excel skills.
Experience with planning systems such as blue yonder, sap, or similar.
Strong communication skills and business acumen.
Proficient english (written and verbal).
Desirable
experience with power bi or similar visualization tools.
Exposure to pos data and customer‑level demand analytics.
Experience using ai‑enabled tools (e.g., microsoft copilot, chatgpt, or similar) to support analytics, insight generation, or reporting; familiarity with best practices for asking structured questions of data is a plus.
Beauty or consumer discretionary industry experience.
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