275 Emplois pour Data Analytics - France
Data Analytics Developer
Publié il y a 7 jours
Emploi consulté
Description De L'emploi
We are currently requesting resumes for the following position : Data Analytics Developer
Resume Due Date : Friday, April 04, 2025 (5:00PM EST)
Job ID: 25-048
Number of Vacancies : 2
Level : MP4
Duration : 8 Months
Hours of work: 35 Hours per week
Location : 700 University Avenue, Toronto
Work Mode: 100 % remote
Job Overview
About the Role:
- We are seeking an experienced Data Analytics Developer to support a growing portfolio of analytics use cases across enterprise functions.
- This role requires hands-on expertise in SQL-based data curation, data modeling, and Power BI dashboard development, with potential to support data science work utilizing Python-based tools.
- You will work within an Azure and Databricks environment, collaborating closely with business stakeholders, data stewards, and internal data teams.
Key Responsibilities:
- Design, develop, and deploy advanced data analytics solutions using SQL, Python, and Power BI.
- Perform data curation and enrichment activities using structured enterprise data sets.
- Build optimized and reusable data models for analytics and reporting.
- Support development of analytics for key initiatives.
- Work within an Azure Data Lake and Databricks ecosystem, integrating curated datasets.
- Collaborate with internal data teams and SMEs to gather requirements and deliver actionable insights.
- Ensure accuracy, reliability, and performance of developed analytics solutions.
Qualifications:
- 5+ years of experience in data analytics and business intelligence development.
- Expert-level SQL skills, with proven experience in data wrangling, enrichment, and modeling.
- Proficiency in Power BI dashboard creation and visual storytelling.
- Experience working in Azure analytics environments (e.g., Data Lake, Synapse, Azure SQL, Databricks).
- Strong understanding of data pipelines and ETL/ELT workflows.
- Exposure to Python and machine learning libraries is an asset (not required but preferred).
- Ability to interpret business requirements and translate them into technical specifications.
- Strong communication and collaboration skills.
Assets:
- Familiarity with enterprise data governance practices and metadata tools.
- Previous work in highly regulated or enterprise-level environments.
Data Analytics Engineer - Freelance
Publié il y a 5 jours
Emploi consulté
Description De L'emploi
Budget: 500-550
Objectif de la mission: exploiter les données des modules ITSM (incidents, demandes, changements, problèmes…) afin d’alimenter des cas d’usage analytiques destinés à différents départements internes (IT, qualité, gouvernance, opérations, etc.).
Votre Rôle
- Établir et sécuriser une connexion technique entre ServiceNow ITSM et Snowflake
- Extraire et charger les données des modules ITSM
- Concevoir une pipeline automatisée d’ingestion
- Structurer les données dans Snowflake
- Mettre en place les métadonnées, les logiques de rafraîchissement et le suivi de la qualité des données
- Documenter la pipeline, les schémas de données et les points de reprise
Profil Recherché
- Expérience significative en intégration de données depuis des systèmes SaaS
- Maîtrise de l’ingestion dans Snowflake
- Compétences en data modeling analytique
- Bonne connaissance des bonnes pratiques d’orchestration, de versioning et de documentation
Informations Pratiques
- Démarrage : ASAP
- Durée : 6 mois renouvelables
- Remote : 3 jours / semaine
Data Analytics & AI Lead
Publié il y a 7 jours
Emploi consulté
Description De L'emploi
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ID: 556523
Location:
Marseille, FR
Led by Rodolphe Saadé, the CMA CGM Group, a global leader in shipping and logistics, serves more than 420 ports around the world on five continents. With its subsidiary CEVA Logistics, a world leader in logistics, and its air freight division CMA CGM AIR CARGO, the CMA CGM Group is continually innovating to offer its customers a complete and increasingly efficient range of new shipping, land, air and logistics solutions.
Committed to the energy transition in shipping, and a pioneer in the use of alternative fuels, the CMA CGM Group has set a target to become Net Zero Carbon by 2050.
Through the CMA CGM Foundation, the Group acts in humanitarian crises that require an emergency response by mobilizing the Group’s shipping and logistics expertise to bring humanitarian supplies around the world.
Present in 160 countries through its network of more than 400 offices and 750 warehouses, the Group employs more than 155,000 people worldwide, including 4,000 in Marseilles where its head office is located.
YOUR ROLE
We are seeking a skilled Data Analytics & AI Leader experienced in business digital transformation. This role is crucial to ensure that AI technologies are integrated in and across all Shipping Lines domains effectively to drive business growth and operational efficiency.
In Business Transformation Shipping Lines department, reporting to the Head of Data, you will work closely with the various Shipping Lines departments (commercial, operations and cargo flow, agencies network…) on their strategics programs managers and Data Managers (Data science and BI) and other stakeholders to deploy Data Analytics & AI Products and foster a data-driven culture.
WHAT ARE YOU GOING TO DO?
- Develop and articulate the Shipping Lines’s AI vision and strategy in alignment with business priorities, Data Foundations roadmap and AI partnerships
- Maintain an up-to-date Data Analytics & AI Roadmap to oversee end-to-end implementation of AI Projects, identify potential overlaps and ensure delivered Products are scalable, robust and aligned with Business expectations
- Secure staffing of Data Experts (data scientists, data analysts, data engineers) and improve ways of working
- Develop awareness related to analytics, AI or ML topics as well as promoting ethical AI usage and driving adoption.
- Foster a collaborative mindset to strengthen autonomy and accountability and break siloes within Shipping Lines teams
WHO ARE WE LOOKING FOR?
- Bachelor’s or master’s degree in data science, Computer Science, or a related field
- Proven experience in a data leadership role, preferably as Data Science or AI
- Proven experience in transformation role, preferably in Business teams
- Excellent leadership, communication and problem-solving abilities
- Deep expertise of in data visualization, big data technologies, analytics, and AI technologies.
- Operational Research experience is a plus
- Experience with cloud-based data solutions (e.g., AWS, Google Cloud, Snowflake)
- Ability to work collaboratively with diverse teams and stakeholders.
- Knowledge of industry regulations and compliance related to AI.
Data Analytics & AI Lead
Publié il y a 7 jours
Emploi consulté
Description De L'emploi
Led by Rodolphe Saadé, the CMA CGM Group, a global leader in shipping and logistics, serves more than 420 ports around the world on five continents. With its subsidiary CEVA Logistics, a world leader in logistics, and its air freight division CMA CGM AIR CARGO, the CMA CGM Group is continually innovating to offer its customers a complete and increasingly efficient range of new shipping, land, air and logistics solutions.
Committed to the energy transition in shipping, and a pioneer in the use of alternative fuels, the CMA CGM Group has set a target to become Net Zero Carbon by 2050.
Through the CMA CGM Foundation, the Group acts in humanitarian crises that require an emergency response by mobilizing the Group’s shipping and logistics expertise to bring humanitarian supplies around the world.
Present in 160 countries through its network of more than 400 offices and 750 warehouses, the Group employs more than 155,000 people worldwide, including 4,000 in Marseilles where its head office is located.
YOUR ROLE
We are seeking a skilled Data Analytics & AI Leader experienced in business digital transformation. This role is crucial to ensure that AI technologies are integrated in and across all Shipping Lines domains effectively to drive business growth and operational efficiency.
In Business Transformation Shipping Lines department, reporting to the Head of Data, you will work closely with the various Shipping Lines departments (commercial, operations and cargo flow, agencies network…) on their strategics programs managers and Data Managers (Data science and BI) and other stakeholders to deploy Data Analytics & AI Products and foster a data-driven culture.
WHAT ARE YOU GOING TO DO?
- Develop and articulate the Shipping Lines’s AI vision and strategy in alignment with business priorities, Data Foundations roadmap and AI partnerships
- Maintain an up-to-date Data Analytics & AI Roadmap to oversee end-to-end implementation of AI Projects, identify potential overlaps and ensure delivered Products are scalable, robust and aligned with Business expectations
- Secure staffing of Data Experts (data scientists, data analysts, data engineers) and improve ways of working
- Develop awareness related to analytics, AI or ML topics as well as promoting ethical AI usage and driving adoption.
- Foster a collaborative mindset to strengthen autonomy and accountability and break siloes within Shipping Lines teams
WHO ARE WE LOOKING FOR?
- Bachelor’s or master’s degree in data science, Computer Science, or a related field
- Proven experience in a data leadership role, preferably as Data Science or AI
- Proven experience in transformation role, preferably in Business teams
- Excellent leadership, communication and problem-solving abilities
- Deep expertise of in data visualization, big data technologies, analytics, and AI technologies.
- Operational Research experience is a plus
- Experience with cloud-based data solutions (e.g., AWS, Google Cloud, Snowflake)
- Ability to work collaboratively with diverse teams and stakeholders.
- Knowledge of industry regulations and compliance related to AI.
Come along on CMA CGM’s adventure !
#J-18808-LjbffrData Analytics Stream Leader
Publié il y a 7 jours
Emploi consulté
Description De L'emploi
Contexte :
L’équipe projet mise en place pour la conversion du système SAP ECC6 EHP0 vers SAP S/4HANA est structurée en différents streams correspondant aux work packages du projet, et en domaines correspondant aux métiers de notre client.
La prestation attendue consiste à prendre la responsabilité du stream Data Analytics du projet SAP4OneConversion, afin d’en définir les inducteurs et hypothèses permettant d’organiser la phase de réalisation et d’en chiffrer l’effort lié.
• Stream Leader : responsable (métier ou IS) du chantier correspondant. Assure l’organisation, l’animation et le suivi du bon déroulement du chantier.
DESCRIPTION DE LA MISSION
En étroite collaboration avec son référent, le Chef de Projet métier, il est demandé au prestataire d’assurer les missions de Data Analytics Stream Leader pour le cadrage du chantier :
• Le prestataire pilotera (organisation, animation, restitution) les ateliers avec le métier pour étudier la liste des codes transactions spécifiques liés au reporting.
• Le prestataire pilotera (organisation, animation, restitution) les ateliers avec le métier pour recenser les requêtes developpées par les utilisateurs à retrouver dans S/4HANA suite au Go-Live.
• Pour ces deux exercices, et en lien avec les équipes IS et Data, le prestataire étudiera les options pour transformer ces outils de reporting (remédiation du code, reconstruction de la requête, retour au standard ou bascule dans la Data Platform).
• Le prestataire préparera et participera au Comité Projet hebdomadaire pour presenter l’avancement de ses activités relatives au stream Data Analytics.
• A l’issue de cette étude de cadrage, le prestataire proposera un plan de stream : planning phasé (en cohérence avec le planning global du projet), plan d’action, et définition de la charge associée.
Critères :
Les consultants devront avoir une solide connaissance dans les domaines suivants :
> Connaissance du traitement de la donnée et de son utilisation, de la collecte et de la modélisation
> Connaissance de SAP ECC ou S/4HANA
> Capacité d’analyse de l’existant et de stratégie data
> Connaissance des outils Pack Office
> Connaissance métier : en particulier finance, supply chain, opérations
> Anglais courant (écrit et oral) : langue du projet
> Une connaissance du langage SQL serait un plus
> Une expérience de projet de conversion, montée de version ou déploiement SAP serait un plus
Vélizy (78) ou Villeurbanne (69).
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