18 Emplois pour Google Analytics - France

Mission: Soutenir l'automatisation des activités de reporting pour l'équipe Expérience client.

Activités principales:
- Analyser et transformer des bases de données à l'aide de SQL
- Créez des tableaux de bord interactifs avec Power BI
- Assurer la précision des données et rationaliser les flux de travail
- Les candidats doivent être rigoureux et désireux d'apprendre

La curiosité pour l'intelligence artificielle est un plus.

Vous êtes rigoureux et appréciez le travail en équipe

Chez Stellantis, nous évaluons les candidats selon leurs qualifications, leurs mérites et les besoins du métier. Nous accueillons les candidatures des personnes de tout genre, âge, ethnie, nationalité, religion, orientation sexuelle, et handicap. La diversité de nos équipes nous permettra de mieux appréhender l'évolution des besoins de nos clients et de notre environnement futur.

6 mois

Europe, France, Ile-de-France, Yvelines (78)

Centre d'Expertise Métier et Région de Poissy

• Anglais (B2 - Intermédiaire (2,5 - 3,4 Bright))
• Français (C1 - Courant (3,5 - 4,4 Bright))

Entité de rattachement Nous rejoindre, c'est intégrer une entreprise d'envergure mondiale. Mû par la recherche permanente de l'innovation et de l'excellence, pionnier et leader des technologies propres et de la mobilité durable, le Groupe entend rester à la pointe des grandes tendances qui font bouger le monde.

Fort de son efficience, de son agilité et de son esprit d'équipe, le Groupe fait preuve d'exigence et d'audace pour définir la mobilité de demain.

Pour réussir ces transformations, l'entreprise a besoin de tous les talents. Rejoignez-nous !

Chez Stellantis, nous évaluons les candidats selon leurs qualifications, leurs mérites et les besoins du métier. Nous accueillons les candidatures des personnes de tout genre, âge, ethnie, nationalité, religion, orientation sexuelle, et handicap. La diversité de nos équipes nous permettra de mieux appréhender l'évolution des besoins de nos clients et de notre environnement futur.

• Centre d'Expertise Métier et Région de Poissy

Mission : Soutenir l'automatisation des activités de reporting pour l'équipe Expérience client.

Activités Principales

• Analyser et transformer des bases de données à l'aide de SQL
• Créez des tableaux de bord interactifs avec Power BI
• Assurer la précision des données et rationaliser les flux de travail
• Les candidats doivent être rigoureux et désireux d'apprendre
  
  

Country:

France

Work Location:

Contract type:

On-siteFull-timeInternship

You will evolve in a key and strategic department of a car manufacturer: after-sales.

The position requires excellent coordination of activities internally (links with marketing, technical, quality service, network development, etc.), you will also support the whole Aftersales team and the French dealer network on various business operations. Well empowered, you are fully integrated into a dynamic team and at the heart of SAIC Motor France's after-sales commercial activity for the MG brand.This internship opportunity requires curiosity and a desire to quickly understand how the entire after-sales service works, as well as a real taste for a challenge.

Participation in the management of the MG Parts & Accessories product range on each of the following elements :

Animations and deployment of the range

• Comparative studies / benchmark all networks
• Extraction of figures, sales analysis and reporting
• Development and updating of information on communication media (tariffs, video, leaflet, brochures, e-learning, etc

Participation in the After-Sales communication strategy:

• Support in the communication operations: seasonal campaigns, accessories campaigns
• Support in the management of monthly CRM campaigns (if needed)
• Implementation of a marketing and communication report

Participate in the optimization of the MG France accessories digital site in order to optimize the attraction, conversion and distribution of the site:

• Performance analysis.
• Development, execution and control of action plans.
• Enrich the content of the site.

Participation in the development and implementation of new communication tools and sales support tools for the dealer network:

• Update of the After-Sales pages on the MG Motor France website.
• Support in the management of claims
• As back-office support for the field teams, you will also be responsible for responding to specific requests from the network and aftersales teams on products and communication campaigns.

• Daily monitoring and communication of MG performance via digital tools (Tableau BI, Power BI…)
• Management and organization of weekly & monthly sales meetings with aftersales team

• You are currently a Master's student in an engineering school or business school (gap year or end-of-study internship)
• You have a good knowledge of Excel and of the entire office package (Power BI is a plus)
• Strong data analysis and processing ability, good command of analysis software and formulation related.
• Fluent English & French (Chinese is a plus)
• Good communication skills, able to effectively communicate with professionals in different cultures
• Spirit of analysis, rigor, strength of proposal, autonomy, teamwork and curiosity, will be the essential character traits to carry out your missions.

January 2024

6 months

Be part of our SAIC Motor France team and apply now!

Send your English CV to

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Join to apply for the Member of Technical Staff, Data Analysis and Evaluation role at Cohere

3 days ago Be among the first 25 applicants

Join to apply for the Member of Technical Staff, Data Analysis and Evaluation role at Cohere

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Why this role?

As a Member of Technical Staff in Data Analysis and Evaluation, you will play a pivotal role in ensuring the quality, reliability, and performance of our large language models (LLMs). Your primary focus will be on designing and conducting data collection tasks, assessing and evaluating dataset quality, and analysing the robustness and generalisability of our models. You will work closely with cross-functional teams, including researchers, engineers, and data annotators, to conduct data-driven decision-making and improve the overall effectiveness of our AI systems.

This role combines expertise in statistics, experimental design incl. human annotators, and machine learning to ensure that our models are trained on high-quality data and perform reliably across diverse scenarios. You will contribute to Cohere’s mission of advancing AI by ensuring our systems are robust, scalable, and impactful.

Please Note: We have offices in London, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role.

As a Member of Technical Staff for Data Analysis and Evaluation you will:

• Design and oversee data collection tasks, including supporting human annotators and ensuring data quality.
• Develop and apply statistical methods to evaluate the quality and reliability of datasets.
• Analyse and assess the generalisability and robustness of ML systems across diverse use cases.
• Collaborate with teams to improve dataset quality and model performance.
• Train and fine-tune large language models (LLMs) on distributed training infrastructures.
• Conduct experiments to evaluate model performance and identify areas for improvement.
  
  

• Extremely strong software engineering skills.
• Strong expertise in designing and conducting data collection tasks, including working with human annotators.
• Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.
• Experience analysing datasets with respect to their quality, biases, and suitability for training ML models.
• Hands-on experience training large language models (LLMs) on distributed training infrastructures.
• Familiarity with evaluating and improving the generalisability and robustness of ML systems.
• Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).
• Excellent communication skills to collaborate effectively with cross-functional teams and present findings.
• One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
• This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We value diverse backgrounds and perspectives at Cohere.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Cohere by 2x

Greater Paris Metropolitan Region 1 year ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

1 day ago Be among the first 25 applicants

The Omexom Brand team is composed so far by 35 talents with various background and education – engineer, sociologist, economist, designer, developer, etc. We support a worldwide network of business units in their strategies, business development and daily challenges.

We are organized around 5 expertise: Business Line Support & Market Development, Environment, Technical & Innovation, Knowledge Management, Communications & Studio.

The two main functions of the Brand team are:

• activate the network & create connections
• offer direct services direct services to Business unites (both immediate and long-term actions in 5 areas of expertise.
  
  
  

• Identify, collect and deliver dashboards gathering information useful to the network and the brand team to manage their strategies
• Provide relevant data information to support the Market Intelligence Officer
• Setting up and maintaining market insights (quantitative and qualitative)
• Be responsible for the proper use of the CRM and produce all the useful statistics
  
  
  

• Serve as the key contact for all stakeholders regarding Omexom brand Verticals, providing insights and recommendations to support / maintain Omexom's leadership position:
• Foster synergies with over 480 Business Units across 40+ countries, through tailored business support, C-level Steering Committees and international « Clubs » ; Activate the network + enable networking
• Spearhead business intelligence activities, conducts M&A analyses and studies to identify key business opportunities; support market development
• Identify key strategic issues and best practices for the BUs, leverage on-the-ground insights and cross-functional collaboration to drive successful projects.
• Support Omexom's brand strategy, missions & transversal projects
  
  
  

• BAC + 4 minimum in international Marketing & Brand Management focusing on market intelligence.
• Interest for the energy sector and for the energy transition challenges
• Clear and effective communication, both verbal and written, to convey ideas and information accurately.
• Ability to adapt, organize and to work in an international network
• Flexibility to adjust to changing circumstances and new challenges.
• Inspiring and guiding others, even if not in a formal leadership role.
• Efficiently managing your time and prioritizing tasks to meet deadlines.
• Understanding and considering the perspectives and feelings of others.
• Maintaining a positive attitude and perseverance in the face of challenges.
• Being sensitive to and respectful of cultural differences, especially in an international context.
• Language: French or English (written and spoken). Another language is a plus
  
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Information Technology
• Industries Construction

Referrals increase your chances of interviewing at Uxello by 2x

Puteaux, Île-de-France, France 3 weeks ago

Suresnes, Île-de-France, France 1 month ago

Neuilly-sur-Seine, Île-de-France, France 2 weeks ago

Wissous, Île-de-France, France 3 weeks ago

Nanterre, Île-de-France, France 3 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Rejoignez une équipe au sein du Pôle Technique des Assurances collectives (Département Actuariat) de la Direction Santé Prévoyance du groupe Covéa (MAAF, MMA, GMF).

L’équipe est composée de 10 collaborateurs (5 à Strasbourg et 5 à Niort). Le manager direct étant sur le site de Niort, le manager N+2 étant sur le site de Strasbourg.

Rattaché au Pôle Technique des Assurances collectives , vous participerez activement à la définition de la stratégie de Data Management de son domaine et vous aurez une vision globale des enjeux métiers qui découlent des bonnes collectes et diffusion de ces données.

Le poste est ouvert sur Niort et Strasbourg.

Votre mission ?

Le fort essor des assurances collectives depuis son lancement en 2014 a multiplié les missions du Pôle Technique des Assurances Collectives. En particulier le développement des assurances Santé et Prévoyance pour la fonction publique amène de nouvelles missions depuis 2024.

Vous serez amené à travailler sur les trois marques MMA, MAAF et GMF, et sur les deux risques santé et prévoyance collective.

Vous rejoindrez une équipe multi-site composée au total de 10 personnes

Votre quotidien ?

• Pilotage technique : suivre les résultats techniques des différentes gammes/marques, élaborer des outils statistiques, mettre en place des documents de reporting permettant le suivi dynamique des résultats techniques de la branche. Produire et analyser les comptes de résultat des contrats sur-mesure et proposer les mesures tarifaires appropriées. Participer à la production des Business Plan.
• Actuariat : mettre en œuvre les modèles de calcul des provisions techniques réglementaires et rédiger les notes techniques. Participer aux travaux d’inventaire (semestriels et annuels), modéliser les calculs de risque (solvabilité II).
• Etudes statistiques : concevoir des études statistiques permettant de mieux appréhender une composante particulière du risque, de proposer une évolution technique et/ou de mettre en évidence un dysfonctionnement dans un produit (élaboration d’outils adaptés ou utilisation de logiciels statistiques, mise en place de modèles appropriés, présentation des résultats).
• Maitrise d’ouvrage : dans le cadre de projets, participer aux validations sur les parties techniques (homologation des tables de pilotage, recherche d’échantillons, validation des cas, certification des tarifs).
• Produits : participer à la conception technique des nouveaux produits (cahier des charges), études spécifiques de cadrage, tarification.
  
  

• Aisance relationnelle et sens pédagogique
• Capacité d’analyse et de synthèse
• Force de proposition et prise de décision
• Autonomie
• Travail en équipe
  
  

Niort, Nouvelle-Aquitaine, France 6 days ago

Niort, Nouvelle-Aquitaine, France 1 month ago

Deux-Sèvres, Nouvelle-Aquitaine, France 1 week ago

Niort, Nouvelle-Aquitaine, France 1 week ago

Niort, Nouvelle-Aquitaine, France 4 months ago

IÉSEG School of Management invites applications for adjunct positions to teach undergraduate-level courses in Econometrics, Data Analysis, and Quantitative Methods (Mathematics, Statistics, Optimization.), within the Quantitative Methods Track, on both Paris and Lille Campuses.

ABOUT IÉSEG SCHOOL OF MANAGEMENT

• IÉSEG holds the “triple crown” of international accreditations (AACSB, AMBA & EQUIS) and is a member of the “Conférence des Grandes Écoles”.
• IÉSEG is one of the leading French business schools in terms of research. The IÉSEG Research Center is accredited by the French CNRS.
• IÉSEG faculty is highly qualified and diverse with 50 different nationalities represented.
• IÉSEG offers Bachelor, Master and Post-Graduate Degrees as well as Executive Education programs. IÉSEG host more than 7000 students on both campuses Lille and Paris.

More information about IÉSEG School of Management is available online at:

JOB QUALIFICATIONS

Applicants should either be PhDs in Economics, Econometrics, Data Analysis, and/or Quantitative Methods (Mathematics, Statistics, Optimization.), with experience in a higher education setting.

They are expected to show evidence of teaching skills and/or strong professional experience. The number of teaching hours offered can be compatible with other professional activities.

Applicants should be fluent in English as all courses at IÉSEG are taught in this language. Prior knowledge of French is not required.

Adjunct professors are expected to:

• Prepare courses, teach and evaluate students, working together under the supervision of a course coordinator
• Help design and develop course materials, including lectures, assignments, and exams
• Provide guidance and support to students to help them achieve their full potential
• Evaluate student performance and provide regular feedback
• Contribute to the development and continuous improvement of the course curriculum
  

Chargé d'études statistiques / actuarielles - Études statistiques / actuarielles / data analysis F/H

Rejoignez une équipe au sein du Pôle Technique des Assurances Collectives (Département Actuariat) de la Direction Santé Prévoyance du groupe Covéa (MAAF, MMA, GMF).

L'équipe est composée de 10 collaborateurs (5 à Strasbourg et 5 à Niort). Le manager direct est basé sur le site de Niort, le manager N+2 sur le site de Strasbourg.

Rattaché au Pôle Technique des Assurances Collectives , vous participerez activement à la définition de la stratégie de Data Management dans ce domaine, avec une vision globale des enjeux métiers liés à la collecte et à la diffusion des données.

Le poste est ouvert à Niort et Strasbourg.

Votre mission :

• Suivi technique : analyser les résultats techniques des différentes gammes/marques, élaborer des outils statistiques, produire des reportings pour le suivi des résultats, analyser les comptes de résultat et proposer des mesures tarifaires, contribuer aux Business Plans.
• Actuariat : appliquer les modèles de calcul des provisions réglementaires, rédiger des notes techniques, participer aux inventaires semestriels et annuels, modéliser les risques (Solvabilité II).
• Études statistiques : concevoir des études pour mieux comprendre certains risques, proposer des évolutions techniques, détecter d’éventuels dysfonctionnements, utiliser des logiciels statistiques et présenter les résultats.
• Maitrise d’ouvrage : valider techniquement des projets (homologation, validation des cas, certification des tarifs).
• Produits : participer à la conception technique des nouveaux produits, études de cadrage, tarification.

Votre profil :

• Maîtrise des techniques statistiques, programmation en SAS, Excel, et SQL.
• Connaissance du domaine santé et prévoyance, outils informatiques et bureautiques.
• Compétences comportementales : aisance relationnelle, analyse, synthèse, proposition, autonomie, travail en équipe.
• Expérience professionnelle d’au moins 3 ans.

Chez Covéa, la diversité et l’égalité des chances sont essentielles. Nous offrons à compétences égales les mêmes opportunités de carrière!

Covéa, groupe mutualiste avec les marques MAAF, MMA, GMF et le réassureur PartnerRe, compte 24 000 collaborateurs, protège plus de 11 millions de clients en France.

Rejoignez le leader de l’assurance, contribuez à sa réussite : votre talent, notre engagement !