AI-Driven Performance Analytics Lead (Hybrid)

Sonepar Canada, Inc.; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Health and welfare insurance

Meal‑voucher card (Swile)

Gym access

Transport pass reimbursement 75%

Sustainable mobility allowance

Résumé du poste

Sonepar in France seeks an AI & Performance Analytics Expert to drive applied AI, analytics automation and business performance across our customer journeys. You will design, maintain and scale AI‑powered analytics capabilities while remaining hands‑on addressing priority business questions.

Your mission includes governance of the analytics ecosystem, collaboration with Product and Performance teams, and delivering scalable self‑service solutions that reduce manual work and accelerate

Qualifications

• Strong experience turning business needs into scalable AI‑powered solutions.
• Hands‑on experience designing and building LLM‑powered agents, copilots or workflows.
• Solid expertise in GA4 and digital analytics with BigQuery knowledge.

Responsabilités

• Identify high‑value opportunities where AI can accelerate performance management and decision‑making.
• Design, build and scale AI agents, copilots and automated workflows across digital journeys.
• Lead analyses on customer journeys, funnels, experimentation and engagement; translate questions into actionable outcomes.
• Strengthen data reliability with automated monitoring and governance.

Connaissances

Applied AI & analytics automation

LLM-powered agents

SQL & Python

Digital analytics leadership

Stakeholder communication

Outils

GA4

BigQuery

Contentsquare

SEMrush

GTM/server-side GTM

Description du poste

Sonepar in France seeks an AI & Performance Analytics Expert to drive applied AI, analytics automation and business performance across our customer journeys. You will design, maintain and scale AI‑powered analytics capabilities while remaining hands‑on addressing priority business questions.

Your mission includes governance of the analytics ecosystem, collaboration with Product and Performance teams, and delivering scalable self‑service solutions that reduce manual work and accelerate