B2B Master Data Analytics Engineer Intern (x/f/m)

À propos du posteEn tant que stagiaire Analytics Engineer dans l'équipe B2B Master Data de Doctolib, vous jouerez un rôle clé dans notre moteur de croissance. Notre objectif est de faciliter, coordonner et gérer des flux de données de haute qualité pour nos équipes commerciales et marketing.Nous recherchons un·e innovateur·trice. Vous serez chargé·e de développer des processus et des pipelines de données solides pour optimiser la qualité des données Salesforce, garantissant ainsi que nos équipes puissent travailler avec des données précises, actualisées et complètes.Vos responsabilités incluront :Développement de pipelines de données : Concevoir et mettre en œuvre des flux de données automatisés pour synchroniser et enrichir notre B2B Master Data dans Salesforce.Observabilité et fiabilité : Établir des mécanismes de surveillance pour la qualité, la fraîcheur et la traçabilité des données afin d'identifier et de résoudre proactivement les problèmes.Excellence logicielle : Intégrer les meilleures pratiques CI/CD dans vos workflows de données pour assurer un code de haute qualité et des déploiements sans heurts.

Join Our TeamDoctolib is seeking a Senior Data Engineer - Analytics to become a vital part of our Analytics Engineering team.In this role, you will be instrumental in creating data products that yield actionable insights and enhance decision-making across Doctolib, contributing to the evolution of healthcare access. You will collaborate with a dynamic team to develop data pipelines and solutions that bolster our organization's capacity for data-driven decision-making and support our AI initiatives.At Doctolib, our tech team is dedicated to crafting innovative products and features that significantly improve the day-to-day experiences of both care teams and patients. We operate in feature teams within an agile framework, fostering close collaboration with product, design, and business teams.Your Key Responsibilities:Develop and maintain data pipelines using Python (Dagster) to align with Doctolib's AI strategy.Build and sustain data marts in BigQuery using SQL/Jinja, DBT.Create insightful dashboards for high-level reporting utilizing Tableau.Engage with stakeholders to identify their data requirements and outline specifications.Ensure data integrity, security (compliance with GDPR), and accessibility through continuous monitoring and optimization.Our Technical Environment:Our solutions are built on a fully cloud-native platform that supports web and mobile interfaces, multiple languages, and is tailored to various country and healthcare specialty needs. We modularize our platform to operate in a distributed architecture leveraging reusable components.Our technology stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.We ethically leverage AI across our products to empower patients and health professionals. Learn more about our AI vision here and our first AI hackathon here!Our data stack incorporates Kafka/Debezium for data ingestion, Dagster/DBT for orchestration, GCS/BigQuery for data warehousing, and Metabase/Tableau for business intelligence and reporting.

nexton is seeking an Analytics Engineer Intern to join the Paris team. This internship focuses on transforming data into useful insights for clients and contributing to projects that drive measurable results. What you will do Support data analysis, retrieval, and visualization activities Contribute to delivering clear, actionable findings for clients Collaborate with analytics professionals on ongoing assignments Build practical skills by working on real business challenges Location This position is located in Paris.

Role OverviewJoin our dynamic team at Mistral as a Data and Analytics Engineer. In this pivotal role, you will play a crucial part in designing, optimizing, and managing our data infrastructure. You will handle vast datasets, enabling our product teams to access secure and reliable data swiftly. Your expertise will be instrumental in enhancing our cutting-edge AI models and empowering business users to make data-driven decisions.Key Responsibilities• Design, construct, and maintain robust data pipelines, ETL workflows, and analytics frameworks. Implement automation for data quality assessments and validation processes.• Collaborate with cross-functional teams to identify data requirements and deliver actionable, high-quality solutions, specifically partnering with machine learning teams to facilitate model training, deployment pipelines, and feature stores.• Enhance data storage, retrieval, processing, and query performance while ensuring scalability and cost-effectiveness.• Establish and uphold data governance, metadata management, and data lineage protocols.• Safeguard data integrity, security, and compliance with prevailing industry standards.Your Profile• Master’s degree in Computer Science, Engineering, Statistics, or a related discipline.• A minimum of 3 years of experience in data engineering, analytics engineering, or a similar position.• Proficient in Python and SQL.• Familiarity with dbt.• Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions (e.g., Snowflake, BigQuery, Redshift, Clickhouse).• Excellent analytical and problem-solving skills with a strong attention to detail.• Proven ability to communicate complex data concepts effectively to both technical and non-technical stakeholders.Preferred Qualifications• Experience with data visualization tools (e.g., Tableau, Looker) is a plus.• Familiarity with machine learning concepts and practices.

Role Overview HelloFresh is hiring a Head of Analytics & Performance in Paris. This leadership role shapes how data supports business growth and operational efficiency. The person in this seat guides analytics strategy and ensures data insights inform major decisions across the company. What You Will Do Lead the analytics and performance team, setting direction and priorities Develop strategies that use data to improve operations and business outcomes Work closely with senior leaders to embed analytics into decision-making Build and refine frameworks for data analysis and reporting What We Look For Experience leading analytics or performance teams Strong background in data-driven strategy and business growth Ability to influence decisions with clear, actionable insights Comfort working in a changing, collaborative setting This is a full-time position based in Paris.

Join Doctolib as a Medical Data Intern within our esteemed Terminology and Ontology team in the Medical Excellence department. This is an exciting opportunity to engage in medical projects that significantly influence public health. You will collaborate closely with the team leader and contribute to vital initiatives.Our team works hand-in-hand with healthcare professionals, including doctors and physiotherapists. You will be instrumental in enhancing our Patient Mobile App in Italy, designed to empower patients in booking appointments, managing their health data, sharing it with medical practitioners, and staying informed about health topics.Your responsibilities will include, but are not limited to:Collecting and organizing various sets of terminology to describe pathologies, allergies, and treatments based on recognized standards (such as ICD10 or SNOMED CT).Adapting terminology labels to ensure they are easily understandable for patients.Translating terminology from English to Italian.Selecting and validating terms in collaboration with medical experts.Presenting your methodology and findings to both the terminology and product teams.Delivering the finalized terminology sets to the technical teams in the appropriate format.

Join Equativ as a Data Analyst Intern and immerse yourself in the dynamic world of data analytics. This internship offers a unique opportunity to work with a talented team, assisting in the analysis and interpretation of data to drive business decisions. You will gain hands-on experience in data collection, processing, and visualization while developing your analytical skills.

Are you enthusiastic about data and its applications within the space sector? Do you aspire to broaden your skills and be a part of a dynamic and innovative field? At Novaspace, you will enter an exciting international consulting group that specializes in the rapidly evolving space industry. We are on the lookout for a Data Engineer Intern to aid in our strategic initiatives by developing cutting-edge data-centric products.As a Data Engineer Intern, you will collaborate with our digital and data team, playing a vital role in supporting our digital activities and shaping our data strategy within the space sector.

Join Vusion Group SA as an Analytics Engineer and play a pivotal role in transforming data into actionable insights. In this full-time position based in Paris, you will collaborate with our R&D department to design and implement robust analytics solutions. Your expertise will help shape data strategies that drive decision-making and enhance our product offerings.

Join Skello as an Analytics Engineer, where you will play a crucial role in transforming data into actionable insights. Your expertise will help shape data-driven decision-making across the organization. You will work collaboratively with cross-functional teams to develop and maintain data pipelines, ensuring the accuracy and accessibility of data.

UpSlide est la première solution de productivité et de branding dédiée aux services financiers. Notre logiciel révolutionne l'utilisation de PowerPoint, Word, Excel et Power BI, permettant à des entreprises telles que Citi, KPMG et BNP Paribas de se concentrer sur des activités à forte valeur ajoutée au lieu de perdre du temps sur le formatage ou le copier-coller. Nous sommes en forte croissance, avec environ 200 talents dans nos bureaux à Paris (siège social), Londres, New York, Singapour et Berlin.Nos valeurs Nos valeurs fondamentales orientent notre méthode de travail et sont au cœur de notre processus de recrutement. Pour rejoindre notre équipe, nous recherchons des individus qui partagent les valeurs suivantes :Excellence : Chaque détail compte, et nous veillons à la qualité de nos livrables.Confiance : Nous sommes passionnés, engagés, et nous agissons avec autonomie.Bien-être au travail : Nous cultivons un esprit positif et partageons notre enthousiasme avec nos collègues et clients.Missions et responsabilités En tant qu'Ingénieur en Analytics, tu es responsable de la conception et de la maintenance des produits de données qui facilitent la prise de décision et l'optimisation des performances chez UpSlide. Tes responsabilités incluent :Gérer des projets de données de A à Z : cadrage avec les équipes métiers, développement, livraison et amélioration continue.Construire et maintenir des pipelines de données et des transformations sur Microsoft Fabric avec dbt.Concevoir des tableaux de bord Power BI clairs et exploitables pour suivre la performance commerciale et produit.Collaborer avec les équipes RevOps, Success et Product : qualifier les besoins et challenger les priorités de manière autonome.Notre stack techniqueLangages : SQL, Python, etc.

Are you eager to enhance your technical skills while achieving tangible marketing objectives? The Campaign Factory is seeking an intern to join our dynamic team!The team oversees all campaigns (email, in-app, and SMS) and is dedicated to fulfilling two core missions:Support the Marketing department in reaching its goals.Scale marketing initiatives by streamlining our processes through automation and optimization of our tools and actions. Your ResponsibilitiesAs a Campaign Management Intern, you will assist the Marketing and Product teams in implementing their communication strategies (upselling, product launches, etc.).Your responsibilities will include, but are not limited to:Collaborating with product and marketing teams to gather their needs and provide recommendations (target audience, messaging, format, etc.);Setting up campaigns in our software using Walk-me (in-app) and/or Braze (email/SMS);Creating and maintaining various customer journeys;Working daily with Product, Design, Tech, and Data teams to advance the projects you are involved in;Making data accessible to teams we collaborate with by building and maintaining dashboards;Contributing to the optimization of existing processes or proposing new ones to enhance team efficiency. QualificationsBefore you continue reading, if you don’t meet the exact profile described below but believe this job description aligns with your skills and needs, we encourage you to apply!You could be the next member of our team if:You have a strong interest in technology and wish to develop technical skills (SQL, HTML, CSS, AI tools);You are organized, meticulous, and able to independently seek out information;You are fluent in English.It would be fantastic if you:Have prior experience in digital marketing (website management, marketing automation, CRM, etc.);Have some knowledge of SQL & HTML. Our Offer

Join Aircall, a groundbreaking unicorn company and AI-driven customer communications platform, empowering over 22,000 businesses worldwide to enhance revenue generation, expedite issue resolution, and expand customer-facing teams. We are revolutionizing customer communication by integrating voice, SMS, WhatsApp, and AI into a unified workspace.Our success is fueled by a straightforward principle: enable teams to work smarter, not harder. With our AI Voice Agent, we automate routine calls, while AI Assist optimizes post-call tasks, and AI Assist Pro offers real-time guidance, allowing our teams to excel in their roles. This results in increased revenue, quicker resolutions, and scalable teams.Headquartered in Paris, with a strong presence in North America centered in Seattle, we also have teams in Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. Our product is beloved by customers, and our business is rapidly expanding, supported by top-tier investors and driven by swift AI advancements across various product lines.At Aircall, you will be part of a dynamic company that values ambition, product focus, and effective execution, providing real impact, fast decision-making, and substantial growth.Our Work Culture: We prioritize customer satisfaction, data-driven decisions, and meaningful outcomes. We embrace ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative and fast-paced environment where trust and impact are paramount, you will find your place with us.We are seeking a dedicated and enthusiastic Senior Data Engineer to become an integral part of our expanding Engineering Team. In this pivotal role, you will manage our analytics and event platform stack.As a member of the Analytics & Data Platform team, you will develop features for our global customer base of over 22,000 companies. Your contributions will unlock data value, enabling our clients to make informed decisions through real-time insights, monitoring, and detailed analytical reports.

Role overview The Consultant - Analytics Engineer position at sia in Paris centers on transforming data into practical insights for clients. This role involves working closely with professionals from different backgrounds to understand specific business issues and help shape effective solutions. The main goal is to support organizations in making better decisions and improving their operations. What you will do Analyze data to identify trends and provide guidance for client strategies Collaborate with teams across various functions to clarify business requirements Design and implement solutions that enhance efficiency and organizational performance

Join our dynamic Analytics Engineering team as a Senior Data Engineer - GCP/BigQuery at Doctolib, where you will play a crucial role in enhancing healthcare accessibility through data-driven insights.Your primary objective will be to develop innovative data products that facilitate informed decision-making across the organization. You will collaborate with a talented team to create robust data pipelines and solutions that support our AI strategy.At Doctolib, we pride ourselves on fostering a collaborative and agile environment, working closely with product, design, and business teams to build features that improve the everyday lives of healthcare professionals and patients.Your responsibilities will include:Designing and maintaining data pipelines using Python to align with Doctolib’s AI initiatives.Developing and managing data marts in BigQuery utilizing SQL/Jinja and DBT.Creating high-level reporting dashboards with Tableau.Engaging with stakeholders to grasp their data requirements and establish clear specifications.Ensuring data quality, security (GDPR compliance), and availability through diligent monitoring and optimization.About Our Tech Environment:Our infrastructure is fully cloud-native, facilitating web and mobile interfaces across various languages, tailored to meet specific healthcare and country requirements. We are modularizing our platform and operating it in a distributed architecture using reusable components.Our tech stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.We prioritize ethical AI integration across our products to empower both patients and healthcare professionals. Explore our AI vision here and learn about our inaugural AI hackathon here!Our data stack comprises Kafka/Debezium for data ingestion, Dagster/DBT for orchestration, GCS/BigQuery for data warehousing, and Metabase/Tableau for BI and reporting.

About the Internship Doctolib is hiring a Business Data Analyst intern for July 2026 in Paris. This role supports data-driven decisions that help improve healthcare services. The internship offers hands-on experience working with large datasets and real-world projects that affect patient care. What You Will Do Work with teams across the company to support business goals Analyze and interpret complex data sets Contribute to projects that aim to improve patient experience and healthcare outcomes Location Paris, Paris, France

Votre rôle En tant que Social Media Manager B2B chez Doctolib, votre mission est de transformer nos réseaux sociaux en une plateforme essentielle pour les professionnels de santé en France. Dans un contexte de repositionnement en tant que leader de l'IA en santé, vous aurez la responsabilité de définir notre ligne éditoriale, de concevoir des contenus innovants et de créer un lien durable avec nos audiences. Vous serez le chef d'orchestre de notre stratégie sociale, de la production de contenu et des partenariats, afin de faire de notre présence sur les réseaux sociaux un levier clé pour notre marque. Vos principales responsabilités incluent : Vision & Stratégie Éditoriale : Élaborer une stratégie de contenu qui offre une valeur ajoutée aux professionnels de santé, allant au-delà de la simple communication produit. Innovation & Formats : Créer et produire des contenus variés et engageants (vidéos, infographies, séries) adaptés aux besoins des soignants, tout en ayant une approche pratique. Partenariats : Développer et gérer une stratégie de collaboration avec des leaders d'opinion et des influenceurs du secteur médical pour renforcer notre crédibilité. Storytelling : Travailler en étroite collaboration avec les équipes produit et médicale pour identifier et raconter des histoires pertinentes pour nos audiences. Leadership : Organiser et diriger les ressources internes et externes (agences, freelances) pour établir une organisation sociale efficace, orientée données et scalable. Analyse & Reporting : Évaluer les performances pour ajuster la stratégie et démontrer l'impact de nos communications sur la perception de la marque, dans une optique de croissance de notre communauté.

Your RoleAt Doctolib, we are committed to revolutionizing healthcare with innovative AI solutions. As a Senior AI Data Engineer, you will be a pivotal player in constructing and refining the data infrastructure within our AI Team, enabling the development of safe, scalable, and impactful AI models.You will collaborate with a skilled team dedicated to enhancing data infrastructure for Large Language Models (LLM), Vision Language Models (VLM), and Retrieval-Augmented Generation (RAG) systems, which will power our groundbreaking AI Medical Companion.Your expertise will empower our engineers and data scientists to efficiently train, evaluate, and deploy AI models using high-quality, well-structured, and compliant data.Key Responsibilities:Guarantee exceptional data quality standards for inputs to AI models.Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) for AI and machine learning applications.Implement frameworks for data ingestion and transformation that support Retrieval systems and training datasets for LLMs and multimodal models.Architect and manage NoSQL and Vector Databases for the efficient storage and retrieval of embeddings, documents, and model inputs.Collaborate with ML and platform teams to establish data schemas, partitioning strategies, and governance rules ensuring privacy, scalability, and reliability.Integrate unstructured and structured data sources (text, speech, images, documents, metadata) into cohesive data models ready for AI utilization.Optimize the performance and cost of data pipelines utilizing GCP native services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI).Contribute to frameworks for data quality and lineage, ensuring AI models are trained on validated, auditable, and compliant datasets.Continuously assess and enhance our data stack to expedite AI experimentation and deployment.

Votre rôle chez DoctolibNous sommes à la recherche d'un(e) stagiaire en qualité des données pour renforcer notre équipe dédiée aux opérations de qualité des données.Basé(e) dans nos bureaux à Levallois, vous rejoindrez l'équipe B2B des données maîtresses, dont la mission est de faciliter et d'optimiser les initiatives en matière de qualité des données à travers trois axes principaux :Suivi : évaluer l'impact de nos actions et communiquer sur les résultats pour maximiser leur portée.Collecte : développer des solutions innovantes afin d'améliorer notre présence sur le marché.Opérations : concevoir et mettre en œuvre des processus visant à accroître l'efficacité des tâches récurrentes.Vos responsabilités comprendront, sans s'y limiter :Assister le Responsable des opérations de qualité des données dans la gestion quotidienne de l'équipe.Accompagner l'équipe et les agents des opérations de données dans leurs activités journalières.Mesurer l'impact des opérations de qualité sur les KPI de l'équipe.Établir et améliorer les processus de gestion des données, incluant la création de procédures opérationnelles pour un traitement régulier.Développer des opérations de qualité des données : instituer des procédures de contrôle qualité, surveiller les performances de l'équipe et établir les indicateurs associés.Vous serez également chargé(e) de mener des projets liés à la qualité des données :Analyser, concevoir et proposer des solutions pour améliorer la qualité des données et résoudre les problèmes opérationnels rencontrés par nos équipes de vente, marketing et exploitation.Optimiser l'utilisation de nos outils dédiés aux opérations de qualité des données (Salesforce, Demand Tool, Reporting analytics).

Labelium seeks a Lead Analytics Engineer to drive its analytics initiatives in Paris. This role plays a central part in shaping how the company uses data to support decisions across the organization. Key responsibilities Oversee analytics projects from initial design through to full implementation Collaborate with teams across the business to deliver advanced analytics solutions Ensure that strategies and recommendations are grounded in strong data insights Location This position is based in Paris.