Leverage technical expertise to transform client data into actionable insights while delivering strategic plans for data integration and quality. Mentor team members and assess data management technologies to bridge gaps in client solutions.

• Provide analytic data to support our annual sales planning including quota planning, go-to-market modeling, capacity modeling and optimization • Convert raw data into well-presented and useful business information that drives business decisions • Drive standards of performance and specific activities that align with the predefined success criteria for the sales organization; track and report on these activities to ensure outcomes are on track/met • Track regularly the metrics on general business performance, average discounts, non-standard exceptions, etc., recommend action items for improvement

Role Description - Strong Python and Jupyter notebook experience with heavy use of Pandas for joining, reshaping, aggregating, and validating multiple data frames. Experience with NumPy and SciPy statistics is highly preferred. - Hands-on experience building Monte Carlo simulations including distribution selection and fitting, sampling design, and interpreting P10 P50 P90 results. Experience handling correlated variables is a plus. - Experience converting complex Excel models into code by tracing formulas, documenting assumptions, and validating numeric accuracy. - Ability to build reliable data pipelines in Python including API authentication, pagination, schema normalization, error handling, and incremental refresh. - Strong SQL skills for extracting inputs from data warehouses or billing databases. - Experience with versioning and auditability beyond Git, including structured snapshot storage of inputs and outputs. - Comfort explaining model outputs and variance drivers to non-technical stakeholders and producing business-ready commentary. Qualifications - Prior work in FP&A, cloud economics, FinOps, or cost and usage modeling for AWS, Azure, or GCP. Company Description

Role Description En tant qu’Alternant(e) Data & Tracking, tu feras partie intégrante de l’équipe Performance et tu accompagneras un Lead Tracking expérimenté qui te formera pas à pas à l’implémentation de plans de taggage, au server-side tracking et à la collecte de données propres pour les clients. - Implémenter et maintenir des plans de taggage : - Configurer Google Tag Manager (Web et Server-Side) pour les clients. - Mettre en place le suivi GA4, les conversions Google Ads, Meta CAPI et les Enhanced Conversions. - Apprendre à structurer un dataLayer propre sur Shopify et d’autres CMS. - Travailler sur l’infrastructure server-side : - Participer aux déploiements sur Addingwell et Stape. - Configurer les sous-domaines, le DNS et le Consent Mode v2. - Comprendre pourquoi le server-side est le standard et comment le mettre en place de A à Z. - Assurer la qualité de la donnée : - Vérifier que les événements remontent correctement dans GA4 et les plateformes Ads. - Debugger les tags. - Auditer les setups existants. - Rédiger des recommandations pour les clients. - Participer aux campagnes d’acquisition (secondaire) : - Assister ponctuellement l’équipe sur la gestion de campagnes Google Ads et Meta Ads. - Comprendre comment la donnée que tu collectes alimente directement la performance publicitaire. Company Description