• Design, build, and maintain curated datasets in dbt Cloud that power GTM and corporate reporting across the full revenue lifecycle • Own metric definitions and ensure consistent logic across recurring reporting, reducing duplicated, ambiguous or conflicting calculations • Investigate data discrepancies end-to-end: trace issues across transformation layers, validate outputs against source systems (e.g. Salesforce), and resolve root causes • Document core datasets and metric definitions in dbt YAML so that both human users and AI-powered query tools inherit accurate, consistent context • Translate complex business logic into clean, well-tested data models • Support a limited set of downstream reporting and one-off analytical requests, especially where they help refine or pressure-test the underlying data model • Over time, grow into more direct partnership with business stakeholders to improve reporting clarity, usability, and trust

• lead a dynamic team, working closely with various business units • translate complex business requirements into actionable data solutions • communicate analytics insights clearly for data-driven decision-making • collaborate with Sales, Marketing, Finance, Product Managers, and Engineering teams • define and own the multi-year technical vision and strategy for Analytics Engineering • lead, coach, and develop a team of Senior Analytics Engineers • advocate for investment in resources by constructing business cases for senior leadership • ensure analytics data estate is treated as a product with clear ownership and quality standards • oversee reliability, scalability, and accuracy of Paddle's analytics data estate • maintain high standards of data governance, data quality, and documentation across the group • create and maintain a culture of continuous learning

Role Description Professeur à temps-partiel régulier / Regular Part-Time Professor for the course "Analytique de gestion" (ADM2702). Course Description: - Introduction aux méthodes de résolution de problèmes, plus particulièrement la prise de décision pour l'efficacité, la profitabilité et la durabilité. - Outils pour la résolution de problèmes structurée, applicables dans les domaines de la gestion, de la finance, du marketing, de la planification organisationnelle, du transport, des opérations et de l'attribution de ressources limitées. - Accentuation des approches de modélisation par l'ordinateur afin de faciliter la formulation, la résolution et l'interprétation des résultats. Course Schedule: - Mardi | Tuesday 17:30-19:00 - Jeudi | Thursday 17:30-19:00 Qualifications - Doit avoir un MBA ou une maîtrise (préférablement un doctorat) dans un domaine relié à l'analytique de gestion. - Doit démontrer une expérience professionnelle récente dans le domaine du cours. - Doit avoir une bonne expérience de l'enseignement, de préférence dans le domaine de l'analytique de gestion. Requirements - Mode d’enseignement: Le cours sera offert en ligne (synchrone en direct). Il est possible que le mode d’enseignement change pour des raisons sanitaires ou pour toutes autres raisons. Benefits - Enseignement / Teaching: $239.47 (2024-2025) - Les taux ne comprennent pas le paiement des vacances ni le paiement statutaire. - Les taux seront appliqués jusqu'à ce qu'un nouvel accord collectif soit ratifié. Le rétroactif sera payé après la ratification.

• Build & Maintain: Design and construct robust data warehouses and build scalable ETL/ELT pipelines to ensure data is clean, reliable, and accessible. • Map the Ecosystem: Play a key role in building out our enterprise architecture. You will map data flows across various siloed departments, understanding the complete lifecycle of how data is created, transformed, and consumed across the system. • Fuel AI Innovation: Build and optimize data pipelines that are not just report-ready, but AI-ready, ensuring our infrastructure can support advanced machine learning models, predictive analytics, and AI-driven business solutions. • Visualize & Storytell: Collaborate directly with business analysts and departmental leaders to translate complex data into meaningful, user-friendly dashboards and visualizations. • Adapt & Innovate: Pivot seamlessly as client needs evolve, applying a solid conceptual understanding of data to solve dynamic business problems. • Advise & Communicate: Act as a bridge between highly technical data systems and strategic business goals, communicating insights clearly to non-technical stakeholders. • As a Senior team member, you will be expected to actively participate in our hiring processes by serving on interview panels for future roles across the company.