{"id":3787542,"url":"https://alion.io/job/corailanalytics-analytics-engineer-confirme","title":"Analytics Engineer confirmé","company":{"id":4511330,"name":"Corail Analytics","domain":"corailanalytics.com","url":"https://alion.io/company/corailanalytics","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":50000,"max":60000,"currency":"EUR","period":"year","gross":null,"usd_annual":67359},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"dbt","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-03T09:52:06Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-07T08:08:13Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Rejoignez Corail Analytics, une agence spécialisée dans l'analyse de données. En tant qu'Analytics Engineer confirmé, vous serez le lien entre les données brutes et les décisions stratégiques des métiers. Vous recueillerez les besoins, définirez les KPI, construirez les modèles dbt et la couche sémantique, puis formerez les utilisateurs pour qu'ils deviennent autonomes. Vous bénéficierez d'un télétravail flexible, d'une formation interne, d'une mutuelle prise en charge à 100% par l'employeur, de 10 jours de RTT, d'une prime de cooptation, d'une carte Swile, d'un matériel de travail de qualité et d'un abonnement Gymlib avec abondement employeur.\nMissions\nAnimer des ateliers avec les équipes métier pour définir des KPI partagés et arbitrer les définitions.\nModéliser les données dans dbt : couches de transformation, tests, documentation.\nConstruire la couche sémantique et les dashboards dans Omni, Looker ou autre outil de BI.\nProfil recherché\nIndispensable :\n4 à 6 ans d'expérience en Analytics Engineering, Data Analytics ou BI.\n\ndbt en production : modélisation, tests, documentation.\n\nSQL avancé et modélisation dimensionnelle.\n\nOmni ou Looker en production, ou Power BI, Tableau, Hex en production.\n\nUn data warehouse cloud (BigQuery, Snowflake, MotherDuck ou Redshift) et Git.\n\nExpérience de la définition de KPI avec des équipes métier.\n\nAisance à l'oral pour animer un atelier ou une formation.\n\nApprécié :\nOmni et Power BI tous les deux, ou une certification dbt, Omni ou Looker.\n\nUne expérience de l'IA générative appliquée à la donnée (text-to-SQL, assistants d'analyse).\n\nLa maîtrise d'au moins un domaine métier, démontrée sur des cas concrets : product analytics, funnel marketing et attribution, pilotage financier, détection de fraude, supply chain ou pricing.\n\nPython, un orchestrateur (Kestra, Airflow).\n\nUne première expérience en agence ou en ESN.\n\nCe qui fera la différence :\nVous posez la question « pour décider quoi ? 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