Data Analyst Jobs in Paris

6 open positions found · Salary range: From $30

View Senior Data Analyst - Strategy & Commercial
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Senior Data Analyst - Strategy & Commercial

From $92/yr

Hi, we’re Back Market. We’re here to help make tech reliable, affordable, and better than new . We're a global marketplace for refurbished devices, helping lower our collective environmental impact by providing trustworthy, affordable tech with 92% less carbon emissions than new. Yep, you read that right. Turns out refurbished tech is way better for the planet than new. In fact, With every device purchased on Back Market, our positive impact on the planet grows. From our Customer Care representatives to our software engineer, every individual at Back Market cuts the planet — and consumers — a break. Our mission is simple: to do more with what we already have. Are you ready to join us? Back Market runs on data. Every insight we surface, every model we build, every anomaly we catch is a step toward making refurbished tech the world's obvious choice — not the alternative. Our Data, Analytics & Insights team is expanding, and we're opening three analytical ownership roles at once: Strategy & Commercial, Customer Care, and Shipping & Logistics. One application. One process. We'll find the best fit together. Wherever you land, you'll own a domain end-to-end — from the data model to the boardroom decision. These aren't reporting roles. They're roles where your analytical judgment drives real business direction. YOUR MISSION (IF YOU ACCEPT IT) 🥇 Depending on which domain becomes your home, here's what you'll own: Strategy & Commercial Analytics Monitor and diagnose commercial performance for Central Europe — weekly, proactively, with course-correction plans ready before anyone asks Contribute to 12M+ sales forecasting and P&L budgeting, translating initiative impacts into tactical recommendations when the trajectory drifts Build data models and tooling that surface actionable pricing signals to the commercial and revenue teams Enable self-service access to pricing and supply health data across the organisation Across all domains, you'll: Own your analytical domain end-to-end — from data model to decision, you're the go-to person Partner directly with senior leadership — not just delivering analyses, but shaping the questions we ask At Staff level: mentor junior analysts and raise the bar for how the team approaches problems 🛠️ Tech Stack What the team works with day-to-day: Data Warehouse: Google BigQuery Transformation: dbt Visualisation & BI: Omni, Amplitude Languages: SQL (essential), Python (very useful) Care tooling: Zendesk, Intercom Experimentation: A/B testing and incrementality frameworks YOU ARE IN THE RIGHT PLACE IF ⭐ You have: Strong SQL proficiency and comfort working with large, complex datasets — you can build the query and explain what the result means for the business in the same breath A track record of owning analytical problem spaces end-to-end — outcomes that shaped business direction, not just answered one-off questions A rigorous analytical mindset: you understand causal vs. correlational reasoning, know the limits of your data, and can design a measurement framework from scratch Excellent communication and storytelling skills — you distil complex, multi-variable analyses into crisp narratives that move senior stakeholders to act Experience in business analytics, commercial strategy, or a customer-facing operations domain (marketplace, e-commerce, logistics, or similar) 5+ years of experience in data analytics, or equivalent hands-on analytical ownership Nice to have: Python proficiency for statistical work, modelling, or analytical automation Domain familiarity: pricing/revenue management for Commercial; care platform experience (Zendesk, Intercom) for Care; logistics or carrier analytics for Shipping Experience designing experiments in an operational context (A/B tests, holdouts, or incrementality measurement) Even if you don't tick every box, we encourage you to apply. We value diverse analytical backgrounds and unconventional paths to expertise. WHY SHOULD YOU JOIN US ? ✌🏼 At Back Market, we’re committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives — it’s one of the reasons we’re such a high-scoring certified B Corp company (93.2). No matter your role and seniority level, you’ll enjoy impact-driven work with hands-on career development in an innovative, driven, and fast-paced environment — with benefits to match, like: - A mission driven work environment where your day to day makes an impact on the planet. Seriously. - Hybrid work environment, with 2 remote days a week and 1 remote work week per quarter, plus 3 flex days. - Employee Resource Groups, including mentorship programs, comprehensive accessibility policies, and cultural competency training. At Back Market, we strive to create a workplace that embodies the world we’re trying to change. We’ve embedded our diversity, equity, and inclusion principles into our DNA — from dedicated staff to employee resource groups to our company values. We know that the perfect background for a role doesn’t mean the perfect fit — we encourage you to apply for a role even if you think you may not have all the qualifications. If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team. Find more English Speaking Jobs in France on Arbeitnow

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View Consultant Data Analyst Marketing - F/H
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Consultant Data Analyst Marketing - F/H

From $12,000/yr

Who We Are WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients’ businesses. VML, part of WPP, supports WPP Enterprise Solutions by helping brands activate transformation through creativity and experience. Pourquoi nous avons besoin de toi ? Pour intégrer notre équipe Data, composée d’une cinquantaine de consultant.e.s et renforcer notre pôle Data Customer Insights. Tes missions Tu contribueras à l’amélioration de la connaissance client et constitueras une aide à la décision des équipes marketing de nos clients. Tu seras, entre autres, chargé.e des missions suivantes : Analyses de comportements clients, Segmentations, Scoring (churn, appétence, cross-sell,…), Analyses des performances de campagnes,… Dashboarding Tu réaliseras des projets de bout en bout, et seras amené.e à intervenir sur les phases de la prise de brief jusqu’à la restitution des résultats et des recommandations marketing auprès des clients. Ton profil Tu es diplômé.e d’un Master d’orientation statistique, scientifique ou économétrie. Tu justifies d’une première expérience significative dans le domaine du marketing, idéalement dans un environnement Conseil. Tu t’intéresses tout particulièrement à l’application stratégique et opérationnelle des données sur la connaissance client et les actions marketing / ventes. Tu possèdes des compétences marketing : capacité à effectuer des recommandations marketing, calcul d’un ROI, acquisition, fidélisation et rétention clients, identification de potentiel, de valeur et de durée de vie client Tu possèdes les compétences techniques & statistiques suivantes : Analyses descriptives simples et avancées Analyses prédictives Construction de scores Mise en place de segmentations opérationnelles Séries temporelles, Méthodes de redressement de populations Equations structurelles Expertise dans les langages de programmation statistiques et technos suivantes : Python et/ ou R, SAS, SQL Dataiku, Tableau/Power B Tu t’intéresses également aux méthodologies avancées type Machine Learning, Deep Learning, Intelligence Artificielle. Tu t’intéresses également aux méthodologies avancées type Machine Learning, Deep Learning, Intelligence Artificielle. Tu fais preuve d’esprit d’analyse et d’esprit critique, tu es team-player, tu aimes apporter ta pierre à l’édifice et faire partie d’une équipe, tu sais t’adapter, vulgariser pour faire le pont entre les équipes techniques et opérationnelles, tu es curieux et à l’écoute, tu exprimes une forte expertise dans ton domaine et adoptes une réelle posture conseil. Tu parles anglais couramment (nombreux clients internationaux). Si tu te reconnais dans ce profil, postule ! Viens rejoindre une équipe de passionnés, dont la data est le dada, dans un groupe qui allie créativité et technologie ! #LI-EMEA About WPP WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence and world-class partnerships – all united by our agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com . WPP (VML/WPP Enterprise Solutions) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. When you click "Submit Application", this will send any information you add below to WPP (VML/WPP Enterprise Solutions). Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy . California residents should read our California Recruitment Privacy Notice . This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it. Find more English Speaking Jobs in France on Arbeitnow

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View Senior Data Analyst - Growth
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Senior Data Analyst - Growth

VoodooParis

From $201/yr

About Voodoo Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. Team The Engineering & Data team builds innovative tech products and platforms to support the growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The team plays a key role in Voodoo’s long-term strategy by accelerating product diversification and providing a state of the art growth-engine to distribute and scale our games. We are looking for a Senior Data Analyst who thrives on transforming data into actionable insights, supporting strategic decisions, and collaborating closely with stakeholders to fuel growth. By joining this team, you will directly shape Voodoo’s marketing and monetization strategies, helping our apps reach and engage hundreds of millions of users worldwide. Role We’re looking for a Senior Data Analyst to join our Engineering & Data team. The objective of this team is to accelerate the growth of the company by serving as the on-demand prediction provider for all Voodoo BUs. This involves addressing critical needs such as predicting campaign LTV for User Acquisition optimization, determining optimal monetization offers for millions of players or constructing confidence intervals for time series data prediction. We want to onboard a passionate data analyst with significant experience in a similar environment to allow us to go one step further. This is an opportunity to have a strategic and critical impact on Voodoo’s success. This position is hybrid and requires 3 days per week in the office based in Paris. Design, build and monitor data models & dashboards to track business metrics Work with cross-functional teams to identify key business needs and solve them using adequate statistical models Thoroughly document your results and offer onboarding and continuous training to help teams effectively utilize data and insights. Establish data quality processes to ensure the reliability and accuracy of our machine learning models. Promote data literacy within the organization and serve as the primary point of contact for all data-related inquiries and support. Demonstrate excellent communication skills to efficiently manage senior stakeholders within a fast-paced scale-up environment. Work closely with the central data team to source additional data and enhance data management practices Profile At least 4 years' experience in Data Analysis Proficient with SQL and/or Python, with a proven experience working with large and complex data sets. Autonomous person with a strong analytical mindset, problem-solving skills and strong attention to detail. Experience with statistical modeling & predictive analytics Excellent verbal & written communication abilities Experience building dashboards with Tableau. Experience in gaming industry or mobile marketing is a plus Any personal or professional experience with machine learning will be valued Our Stack SQL; Python; DBT; AWS; Tableau Benefits Competitive salary based on experience Swile Lunch voucher Gymlib (100% covered by Voodoo) Premium healthcare coverage with SideCare, 100% covered for you and your family Wellness activities in our Paris office Remote Fridays Find more English Speaking Jobs in France on Arbeitnow

MarketingConfidence IntervalsTime SeriesBusiness MetricsContinuous Training+16 more
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View Finance Data Annotation Quality Analyst
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Finance Data Annotation Quality Analyst

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We’re seeking highly motivated Data Quality Analysts with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation. This is a hybrid quality reviewing and tooling role: you'll spend the majority of your time reviewing and auditing Finance (any subdomain) annotations against rubrics to ensure data used for training and evaluating AI models meets the highest standards of quality and efficiency. and the remainder building, maintaining, and troubleshooting annotation operations. You'll collaborate closely with the annotators, technical program manager, and science stakeholders, and contribute to refining the guidelines and processes that shape how our data is produced. Key Responsibilities In collaboration with the technical team, review/audit annotations, clarify requirements, share insights, surface systemic issues, edge cases, and gaps in guidelines, to improve annotation processes and guidelines. Generate and validate high-quality finance-oriented data annotations yourself when needed, based on guidelines and continuous feedback, for the development and evaluation of AI models Build and maintain internal tools and automation that streamline annotation or review workflows such as visualization dashboards, batch configuration scripts, output management utilities, and similar Troubleshoot campaign issues (e.g. tooling, guidelines) for annotators Organise annotator training and coordinate feedback between annotators and reviewers. About you A degree (minimum Masters level) in a Finance discipline. At least 3 years of professional experience in the Financial domain. Outstanding analytical and research skills Some familiarity with programming languages, with the ability to read standard output formats such as .jsonl files. Exercises great judgement with complex instructions, limited data, and/or multiple information sources and ability to surface edge cases, ambiguities, or gaps in guidelines accordingly. Excellent communication, interpersonal, and organisational abilities Adapts easily to dynamic environments and changing requirements Appetite for operational work and high tolerance for repetitive tasks with a sustained focus and accuracy on detail-oriented, high-volume review work. Professional proficiency in English, with strong writing and comprehension skills Nice to have Familiarity with rubric-based evaluation concepts, inter-annotator agreement, or quality measurement for human-labeled data Experience building an annotation team through interviews and training Proficient in at least one programming language (e.g. Python) Prior experience in data annotation for AI/ML, especially LLM training (SFT, RLHF, preference data), evals/benchmarks, or agentic data Comfortable working in a Unix-like terminal and using git workflows (branches, merges, resolving conflicts) What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy . Find more English Speaking Jobs in France on Arbeitnow

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View Senior Product Data Analyst - Publishing Team
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Senior Product Data Analyst - Publishing Team

VoodooParis

From $201/yr

About Voodoo Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. This position is Paris based. We can support your relocation if needed. Team Our Gaming team is made up of hybrid-casual, casual and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. The Core Central Team provides hands-on support and mentoring to all Voodoo studios looking to create new casual and midcore games, and anything hybrid in between. Role We are looking for a Product Data Analyst who is deeply passionate about data-driven decisions, transforming raw data into clear actionable business insights, and who is constantly driving themselves and the team towards completing the next challenge. By joining this team, you will have a strong impact on the business and a unique opportunity to reach hundreds of millions of users with your insights and recommendations. Providing valuable insights and recommendations to shape game features, economies and future roadmaps. Proposing AB Test and benchmarking the good practices in competitors games Overseeing the tracking design and QA processes to ensure accurate data collection. Developing dashboards and analysis that provide actionable insights into key product and monetization metrics. Building and maintaining robust data pipelines Conducting comprehensive product playtests to refine gameplay mechanics and user experience. Profile 2+ years of experience as a Data Analyst/Scientist in a fast‑paced environment, with strong skills in building production‑ready data pipelines. Master Degree in Statistics / Math / Engineering / Economics or other quantitative fields Strong SQL with experience querying large, complex datasets Experience building production-ready data pipelines Experience working with Tableau – advantage Experience with data modeling tools (e.g., dbt) – advantage High level of analytical and rigorous problem‑solving skills with strong attention to detail Strong sense of ownership, builder’s mindset, and intellectual curiosity Ability to turn complex concepts into actionable recommendations Curiosity for games/player behavior and comfort in ambiguity" AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work Benefits Competitive salary upon experience Swile Lunch voucher Gymlib (100% borne by Voodoo) Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo Child day care facilities (Les Petits Chaperons rouges) Wellness activities in our Paris office Remote days Find more English Speaking Jobs in France on Arbeitnow

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View Lead Marketing Data Analyst (x/f/m)
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Lead Marketing Data Analyst (x/f/m)

DoctolibParis, Paris

From $30/yr

Vos missions Nous recherchons un(e) Lead Marketing Data Analyst pour rejoindre l'équipe B2B Performance Marketing. En tant que Lead Marketing Data Analyst, vous êtes la référence analytique de l'équipe sur la performance d'acquisition, l'attribution et la valeur client. Vous transformez des données cross-canal complexes en concepts clairs et en recommandations concrètes qui influencent directement les décisions d'investissement, de ciblage et de croissance de l'équipe. Vous êtes le socle data sur lequel s'appuient le spécialiste CRM Tooling & AI et le Digital Analyst : vous garantissez que la bonne donnée est disponible, fiable et exploitable par tous. Vous travaillez en étroite collaboration avec les Data Product Managers pour trouver les bonnes solutions et aligner les équipes Data sur des définitions communes, des métriques partagées et une structuration cohérente de la donnée. Vous êtes également le partenaire des Sales Operations (équipe SCOPS) pour construire l'infrastructure de “lead scoring” qui connecte Marketing et Sales. Vous évoluez dans un environnement AI-first : les modèles ML, les pipelines automatisés et l'analyse assistée par IA feront partie de votre quotidien. Vos responsabilités incluent, mais ne sont pas limitées à : 1. Attribution, parcours de conversion & incrémentalité (30%) Piloter le modèle d'attribution multi-touch de l'équipe entre SEO, acquisition payante et CRM Construire et maintenir une vue unifiée des parcours de conversion, exploitable depuis le data warehouse Définir et documenter les définitions de conversion communes sur lesquelles toute l'équipe s'aligne Accompagner les équipes Paid et CRM dans la mesure de leur impact (tests d'incrémentalité, Marketing Mix Modeling, Causal Impact…) Travailler avec les Data Product Managers pour s'assurer que les modèles de données et les flux associés sont correctement structurés et maintenus 2. LTV/SAC, analyses de cohortes & reporting à la Direction (25%) Suivre la LTV et le SAC par canal d'acquisition, segment et cohorte Construire et maintenir les courbes de rétention par cohorte (J7, J30, J90) et identifier les moments de churn Déterminer quelles sources d'acquisition et quels segments génèrent la plus forte valeur à long terme Développer des modèles de prévision en collaboration étroite avec les équipes Data et Finance Produire le reporting LTV/SAC mensuel qui guide les décisions d'allocation budgétaire et préparer les synthèses de performance partagées avec la Direction 3. Scoring des leads & partenariat avec les équipes commerciales (20%) Concevoir et déployer un modèle de scoring des leads basé sur le machine learning avec l'équipe SCOPS, pour déterminer quels leads sont transmis aux commerciaux et lesquels sont nurturés en CRM Traduire les données comportementales et d'engagement en un modèle de scoring activable dans le CRM, en coordination avec le spécialiste CRM Tooling & AI Faire évoluer le modèle au fil des nouvelles données et des retours des équipes commerciales 4. Disponibilité de la donnée & support de l'équipe (15%) Être le partenaire data du spécialiste CRM Tooling & AI et du Digital Analyst : garantir que la donnée dont ils ont besoin est disponible, bien documentée et fiable Traduire leurs besoins en exigences structurées pour les Data Product Managers Identifier les problèmes de qualité de données en amont et les suivre jusqu'à leur résolution Être le lien entre l'équipe Performance Marketing et l'organisation Data 5. Tableaux de bord opérationnels & suivi de la performance (10%) Piloter les tableaux de bord de performance globale de l'équipe : acquisition, attribution, LTV/SAC et contribution par canal (suivi quotidien, pilotage hebdomadaire, vue mensuelle pour la direction) Mettre en place une détection automatique des anomalies, des synthèses narratives générées par IA et des analyses exploratoires assistées pour libérer du temps sur des travaux analytiques à plus forte valeur ajoutée Les qualités attendues pour ce poste Avant de poursuivre votre lecture, si vous n'avez pas le profil exact décrit ci-dessous, mais que vous pensez que cette description de poste correspond à vos compétences et à vos aspirations, nous vous encourageons tout de même à postuler. Vous pourrez être le prochain membre de notre équipe si vous : Justifiez de 7 à 10 ans d'expérience en analytics marketing, growth analytics ou business analytics idéalement dans des scale-ups B2B SaaS Avez l'habitude de piloter un travail analytique de bout en bout, du modèle de données à la présentation à la Direction Maîtrisez les requêtes SQL de manière autonome au quotidien et avez travaillé directement avec BigQuery ou équivalent Avez une expérience concrète en attribution et/ou en incrémentalité : vous avez construit ou piloté un modèle d'attribution multi-touch, mené des tests d'incrémentalité (user-based, geolift) ou travaillé sur du Marketing Mix Modeling Avez une expérience en optimisation du funnel marketing : Stratégie d'acquisition & d'activation Modélisation de la LTV / SAC dans un contexte SaaS ou par abonnement : avoir réalisé des analyses LTV et SAC basées sur des cohortes, utilisées pour orienter l'allocation budgétaire ou des décisions stratégiques. Définition des KPIs et cadre de référence (MQLs, SQLs, Leads...) Expérience avec des outils de visualisation de données : Amplitude, Tableau, Looker, Metabase… Maîtrisez l'anglais et le français, à l'écrit comme à l'oral Ce serait fantastique si vous aviez aussi : Des compétences en Python ou R pour la modélisation statistique avancée et le développement de modèles de machine learning Une connaissance des modèles de croissance tirés par le produit (product-led growth) et de la façon dont les données d'usage alimentent la mesure marketing Une expérience de management ou d'accompagnement d'analystes plus juniors Des notions d'allemand Notre offre Une mutuelle avantageuse prise en charge à 100 % par Doctolib (régime de base) pour les employés et leurs enfants 25 jours de congés payés et 12 à 14 jours de RTT par an Un programme de santé mentale et de coaching personnalisé gratuit avec notre partenaire Moka.care 10 jours par an de télétravail à l’étranger possible Adhésion au plan de partage de la valeur de Doctolib, appelé DoctoGrowth Des tickets restaurant d'une valeur de 8,50 € par jour, dont 4,50 € pris en charge par Doctolib Un programme d'intégration complet de 3 mois incluant la Doctolib Academy et diverses formations (langues, soft skills, compétences techniques) Une subvention du comité d’entreprise pour le remboursement d'une partie de l'inscription à un club de sport ou à une activité créative Un remboursement à 50 % de l'abonnement aux transports en commun Un mois de congé supplémentaire au congé parental légal grâce au programme "Parent Care" Pour les salariés en situation de handicap ou proches aidants, un package comprenant une adaptation du télétravail, des jours d'absence autorisée payés pour les rendez-vous médicaux et un soutien psychologique renforcé Aide au déménagement en cas de mobilité internationale Le processus de recrutement Entretien avec un recruteur Rencontre avec la manager Étude de cas et restitution Dernier entretien avec la leadership team Une prise de référence à minima Détails du poste CDI Temps Plein Lieu de Travail : Levallois-Perret Prise de poste : dès que possible Rémunération : fixe et variable sur objectifs (à définir selon profil) Ce poste est éligible au télétravail partiel (2 jours/ semaine) Chez Doctolib, nous sommes convaincus que nous devons améliorer la santé pour tout le monde. Cela se reflète dans notre processus de recrutement. Nous évaluons les candidatures uniquement sur la base des qualifications et de la motivation, sans aucune forme de discrimination. Plus les idées sont diverses, plus notre produit améliorera véritablement la santé pour tout le monde. Vous pouvez postuler chez Doctolib, quel que soit votre genre, religion, âge, orientation sexuelle, origine ethnique ou handicap. Afin de garantir l'égalité des chances, nous vous invitons à exclure les informations personnelles (par exemple : photos, âgé) de vos candidatures. Si vous avez besoin d'aménagements particuliers, merci de nous en informer pour que nous puissions adapter le processus de recrutement. Rejoignez-nous pour construire la santé dont nous rêvons tous ! Toutes les informations fournies sont traitées par Doctolib pour la gestion des candidatures. Pour plus de détails sur le traitement des données, cliquez ici . Veuillez contacter hr.dataprivacy(at)doctolib.com pour toute question ou pour exercer vos droits. Find more English Speaking Jobs in France on Arbeitnow

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Companies hiring for Data Analyst

Data Analyst Salary Data in Paris

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