Lead and own the NA analytics learning agenda aligned to core commercial and brand priorities
Co‑lead the Brand Consumption Forecasting process; ensure strong inputs, transparent assumptions, and well‑tested drivers
Serve as the US lead for Marketing Mix Modeling (MMM), translating global outputs into brand/channel investment guidance and operating principles
Own consumption reporting for the business; deliver clear monthly narratives and follow‑up analyses on drivers, risks, and actions
Lead the experimentation and in‑market testing agenda (A/B, geo, incrementality), defining success metrics and guardrails for pricing, promo, display, creative, targeting, and distribution
Establish measurement frameworks and KPIs for Brand and Commercial teams; evolve dashboards from reports to decision‑support tools with clear thresholds and alerts
Act as a trusted advisor to Commercial/Sales and Brand, proactively identifying opportunities in distribution, assortment, pack/price architecture, media ROI, and geographic strategy
Partner across Finance, Strategy, Category Strategy, and Global Analytics to align on single‑source truths, reconcile top‑down/bottom‑up views, and accelerate decisions
Partner with IT/Data teams to shape data models, pipelines, and dashboards; define user stories, prioritize backlogs, and drive adoption
Ensure data quality and governance across NIQ/IRI (scan & panel), NABCA, CGA, and internal sources; maintain documentation, definitions, and data literacy

Bachelor’s in Analytics, Statistics, Economics, Marketing Science, or related; Master’s preferred
10–15 years total in CPG analytics/insights, consulting, or advanced analytics roles supporting sales/brand/portfolio decisions
4–6 years of direct people leadership (team of analysts/ICs; manager‑of‑managers exposure a plus)
NIQ/IRI (scan + panel) expertise is required; experience triangulating multiple data sources necessary (e.g. consumption, depletion, shipments, etc), and on‑prem sources
Hands‑on or leadership experience with Marketing Mix, forecasting/predictive modeling, assortment, market structure/segmentation, test design/incrementality, KPI frameworks, and dashboarding
Track record establishing agile operating rhythms, prioritization, intake/triage, and QA for analytics deliverables at scale

Director, Analytics – North America Insights

Key skills