{"id":2190244,"url":"https://alion.io/job/stay22-senior-data-developer","title":"Senior Analytics Developer","company":{"id":699130,"name":"Stay22","domain":"stay22.com","url":"https://alion.io/company/stay22-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":null,"role_family":null,"seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Montreal, Canada"],"countries":["CA"],"hiring_countries":["IT"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Miro","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-09T16:13:10Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T19:26:59Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"-Version française à suivre-\nAbout Stay22\nBased in Montreal, Stay22 helps ambitious creators and intent-rich digital platforms turn their existing traffic into incremental revenue, with technology that works quietly in the background.\nToday, more than 6,500 creators and platforms rely on Stay22, with over $1 billion in annual transactions flowing through the platform. Originally built for travel, the company now supports partners across retail, lifestyle, publishing, events, and transport as it expands its monetization infrastructure for the modern creator economy.\nPosition overview\nThe Data team at Stay22 transforms raw data into trusted insights that drive product and business decisions. As a Sr Analytics Developer, you will own the modelling and transformation layer that turns warehouse data into reusable data products. Modelling is central to your work: defining entities, grain, relationships, facts, dimensions, and governed metrics that stakeholders can trust.\nYou will partner with Product, Development, Analytics, and Business teams to solve problems and uncover opportunities-from improving user experience and product performance to increasing conversion, partner revenue, and operational efficiency. You’ll translate these needs into semantic models, and self-serve datasets and tools that help teams decide and act fast.\nThis role combines advanced SQL and development practices with strong product and business acumen. You’ll use AI-assisted and agentic coding tools to accelerate delivery while retaining human accountability for quality, security, correctness, and business meaning.\nKey responsibilities\nDesign, build, and evolve scalable analytical models and transformation workflows using SQL, dbt, Dagster and modern warehouse patterns.\nDefine model grain, entities, keys, join paths, facts, dimensions, snapshots, incremental strategies, and materializations that balance usability, performance, and cost.\nTranslate business concepts into reusable metrics, semantic definitions, and analytical datasets for BI, experimentation, product analytics, and AI-enabled workflows.\nPartner with Product, Development, Revenue, Marketing, Operations, and Analytics to identify business problems and opportunities, including instrumentation, funnels, activation, engagement, conversion, retention, attribution, and revenue metrics.\nBuild and maintain reliable ELT and transformation workflows from internal and third-party sources, working closely with Data Development on ingestion and platform concerns.\nApply production development practices-including data quality tests, freshness checks, observability, lineage, documentation, governance, version control, CI/CD, and automated validation-to protect trust in analytical products.\nInvestigate product and business performance, using reliable models and analysis to explain changes, identify opportunities, recommend next steps, and optimize performance, scalability, cost, and freshness.\nCreate machine-readable business context.\nUse AI coding assistants and agentic workflows for exploration, SQL and Python scaffolding, refactoring, test generation, documentation, and impact analysis.\nValidate AI-generated code and analytical logic through profiling, targeted tests, query results, lineage, impact and performance checks, and human review; retain human ownership of metric meaning, modelling, privacy, security, architecture, and production approval.\nMentor developers and analysts on modelling, SQL quality, metric design, testing, documentation, stakeholder discovery, and responsible AI-augmented development, while staying current with modern analytics practices.\nRequirements\nEnglish proficiency is required for daily communication with international colleagues and partners.\n5+ years of experience in analytics development, data development, BI development, or a closely related role.\nAdvanced SQL skills and strong relational and dimensional modelling expertise, including grain, keys, joins, facts, dimensions, incremental processing, and performance trade-offs.\nHands-on experience building production transformation projects with dbt or a comparable framework on a modern cloud warehouse or lakehouse such as Snowflake.\nExperience applying tests, documentation, lineage, version control, CI/CD, observability, governance, privacy, and access controls to analytical data products.\nDemonstrated ability to define and govern business metrics, semantic models, and reusable datasets used by multiple teams or products.\nStrong product and business acumen.\nProficiency in Python and AI-assisted or agentic development workflows, with the judgment to validate outputs through testing, profiling, review, and business context.\nExcellent communication and collaboration skills, including the ability to explain modelling choices, analytical trade-offs, and data limitations to non-technical stakeholders.\nWhat to expect during our hiring process\nWe know your time is valuable, here is a quick look at the next steps:\nScreening call with our Talent Acquisition Partner (30-45 minutes)\nTechncial session with a member of the Data Team and Manager (60 minutes)\nFinal interview with our CEO (30 minutes)\nOffer & onboarding \nNote: this process may evolve based on the team's needs.\nWhy join Stay22?\nPrime Montreal Location: Work from our vibrant Little Italy HQ with a cafeteria allowance, full gym access, and a rooftop terrace complete with a seasonal basketball/pickleball court & hockey rink.\nComprehensive Benefits: Health & dental coverage, RRSP matching, fully paid STM pass’, and regular team socials, events, and retreats.\n Flexibility That Works: Flexible schedules, work-from-anywhere opportunities, year-end shutdown, and flex days.\n(Stay22 is an equal-opportunity employer. All qualified applicants are given consideration. If you have a disability or particular need that requires accommodation, please contact us at )\nYour application will be reviewed byNayo, our internal recruiter- even if you don’t meet every requirement but you’re excited, let’s talk.\n\nAperçu du poste\nL’équipe Data de Stay22 transforme les données brutes en informations fiables qui orientent les décisions produit et d’affaires. En tant que développeur·se analytique senior, vous serez responsable de la couche de modélisation et de transformation qui convertit les données entreposées en produits de données réutilisables. La modélisation est au cœur de votre travail: définir les entités, la granularité, les relations, les faits, les dimensions et les métriques gouvernées auxquelles les parties prenantes peuvent se fier.\nVous collaborerez avec les équipes Produit, Développement, Analytique et Affaires pour résoudre des problèmes et découvrir des occasions d’affaires - de l’amélioration de l’expérience utilisateur et de la performance des produits à l’augmentation de la conversion, des revenus des partenaires et de l’efficacité opérationnelle. Vous traduirez ces besoins en modèles sémantiques ainsi qu’en ensembles de données et outils en libre-service qui aident les équipes à décider et à agir rapidement.\nCe rôle allie des pratiques avancées en SQL et en développement à un solide sens du produit et des affaires. Vous utiliserez des outils de codage agentiques et assistés par l’IA pour accélérer la livraison, tout en conservant une responsabilité humaine quant à la qualité, à la sécurité, à l’exactitude et à la signification d’affaires des données.\nPrincipales responsabilités\nConcevoir, développer et faire évoluer des modèles analytiques et des flux de transformation évolutifs avec SQL, dbt, Dagster et les pratiques modernes d’entrepôt de données.\nDéfinir la granularité, les entités, les clés, les jointures, les faits, les dimensions, les snapshots, les stratégies incrémentales et les matérialisations en équilibrant convivialité, performance et coûts.\nTraduire les concepts d’affaires en métriques, définitions sémantiques et ensembles de données réutilisables pour la BI, l’expérimentation, l’analytique produit et les flux propulsés par l’IA.\nCollaborer avec les équipes Produit, Développement, Revenus, Marketing, Opérations et Analytique pour cerner les occasions d’affaires : instrumentation, tunnels de vente, activation, engagement, conversion, rétention, attribution et revenus.\nDévelopper et maintenir des flux ELT fiables à partir de sources internes et tierces, en collaboration avec l’équipe de développement des données.\nAppliquer les pratiques de développement de production - tests de qualité, fraîcheur, observabilité, lignage, documentation, gouvernance, contrôle de version, CI/CD et validation automatisée - pour assurer la fiabilité des produits analytiques.\nAnalyser la performance des produits et de l’entreprise pour expliquer les variations, repérer des occasions, recommander les prochaines étapes et optimiser la performance, les coûts et la fraîcheur des données.\nCréer un contexte d’affaires lisible par l’IA.\nUtiliser des assistants de codage IA et des flux agentiques pour l’exploration, la programmation SQL et Python, la refactorisation, les tests, la documentation et l’analyse d’impact.\nValider le code et la logique générés par l’IA (profilage, tests ciblés, lignage, impact, performance et révision humaine), tout en conservant la responsabilité humaine de la signification des métriques, de la modélisation, de la confidentialité, de la sécurité, de l’architecture et des mises en production.\nEncadrer développeur·se·s et analystes en modélisation, qualité SQL, conception de métriques, tests, documentation, découverte des besoins et développement responsable augmenté par l’IA.\nExpérience recherchée\nUne bonne connaissance de l’anglais est requise pour communiquer au quotidien avec des collègues à l’international.\nPlus de 5 ans d’expérience en développement des données ou dans un rôle similaire.\nMaîtrise de SQL et Python, avec expérience confirmée des entrepôts de données modernes (Snowflake un atout).\nExpérience solide dans la création et la maintenance de pipelines ETL/ELT et dans l’utilisation d’outils d’orchestration (dbt et Dagster sont un atout).\nCompétence avec les plateformes cloud et leurs services de stockage et traitement de données.\nExcellente compréhension de l’entreposage de données, de la modélisation, de l’architecture data et des pratiques de qualité/gouvernance.\nCapacité démontrée à concevoir des solutions pour des problématiques data complexes et à piloter des projets de bout en bout, jusqu’à la mise en production.\nSolides aptitudes de communication et de collaboration, avec la capacité de vulgariser des concepts techniques auprès de publics non techniques.\nÀ quoi t'attendre pendant notre processus de recrutement\nNous savons que ton temps est précieux, voici un aperçu rapide des prochaines étapes :\nEntretien téléphonique avec notre partenaire en recrutement (30 à 45 minutes)\nSession de brainstorming sur la conception de systèmes (Miro) avec l’équipe de développement (60 minutes)\nEntretien final avec notre PDG (30 minutes)\nOffre et intégration \nNote : ce processus peut évoluer selon les besoins de l'équipe.\nPourquoi rejoindre Stay22?\nEmplacement de choix à Montréal : Travaillez depuis notre dynamique siège social situé dans la Petite-Italie, avec une allocation pour la cafétéria, un accès complet au gym, ainsi qu’une terrasse sur le toit comprenant un terrain saisonnier de basketball/pickleball et une patinoire de hockey.\nUne gamme complète d’avantages sociaux : Couverture santé et dentaire, contribution de l’employeur au REER, titre de transport STM entièrement payé, ainsi que des activités d’équipe, événements et retraites réguliers.\n Une flexibilité adaptée à votre réalité : Horaires flexibles, possibilités de travailler de n’importe où, fermeture des bureaux en fin d’année et journées flexibles.\n(Stay22 est un employeur garantissant l’égalité des chances. Toutes les candidatures qualifiées seront examinées. 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