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Lead Data Intelligence - DSI Groupe

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Inetum

Oct 29

Applications are closed

  • Job
    Full-time
    Senior Level
  • Data
    IT & Cybersecurity
  • Lyon
    Remote

Requirements

  • Diplôme d'ingénieur ou école de commerce avec une spécialisation en informatique, statistiques, mathématiques appliquées ou domaine connexe. Des certifications sur l'écosystème Microsoft Azure ou sur l'analyse et l'exploitation des données sont un plus.
  • Expérience significative dans un rôle similaire, avec une expertise reconnue en BI et Data Science, dans la gestion de projets complexes et dans la coordination d'équipes pluridisciplinaires.
  • Maîtrise des outils et des langages de programmation (Python, SQL, Spark), de l'environnement Microsoft Azure (PowerBI, Microsoft Fabric) et des architectures de données cloud.
  • Leadership, vision stratégique, excellent relationnel, sens de l'organisation et rigueur.

Responsibilities

  • Définir et mettre en œuvre la roadmap Data Intelligence en alignant les initiatives data avec la stratégie globale
  • Construire et maintenir une plateforme de donnée unifiée au service de la mise en place des KPIs financiers, commerciaux et opérationnels pour faciliter la prise de décision stratégique
  • Développer et maintenir à jour l'ensemble des tableaux de bord de suivi de performance pour suivre la cadence des analyses, résultats mensuels, clôtures et revues budgétaires
  • Accompagner le développement de la BI Factory au sein de la DSI en coordonnant les opérations des différentes zones et pays dans l'utilisation des ressources
  • Être un référent et un facilitateur auprès des métiers pour les aider à exploiter les données en self-service
  • Piloter les projets de data science en assurant la coordination entre les équipes techniques et les métiers

FAQs

What is the main responsibility of the Lead Data Intelligence position?

The main responsibility is to pilot all activities related to analytics, BI, and data science, transforming data into strategic insights to improve decision-making and identify growth opportunities.

What qualifications are required for the Lead Data Intelligence role?

A degree from an engineering school or business school with a specialization in computer science, statistics, applied mathematics, or a related field is required. Certifications in the Microsoft Azure ecosystem or data analysis and exploitation are a plus.

What languages and tools should candidates be familiar with?

Candidates should have proficiency in programming languages and tools such as Python, SQL, Spark, and familiarity with Microsoft Azure (PowerBI, Microsoft Fabric) and cloud data architectures.

What kind of experience is preferred for this position?

Significant experience in a similar role with recognized expertise in BI and Data Science, along with experience in managing complex projects and coordinating multidisciplinary teams, is preferred.

Is there a possibility for career development in this role?

Yes, the company offers a personalized career trajectory adapted to your development wishes, with opportunities across international locations, targeted training, and projects spanning the entire IT value chain.

Does Inetum promote inclusivity in its hiring process?

Yes, all positions are open to individuals with disabilities.

How does the company approach work-life balance?

The company offers a remote work agreement for more flexibility.

What kind of corporate culture can employees expect?

Employees can expect a collective of experts sharing values of solidarity and excellence within a culture of proximity, supported by 45 agencies across France.

Consulting
Industry
10,001+
Employees
1970
Founded Year

Mission & Purpose

Inetum is a global IT services and consulting company that offers digital transformation solutions, including IT consulting, software development, and managed services. Their mission is to help organizations improve their performance and adapt to technological changes through innovative and tailored digital solutions. Their purpose is to drive business growth and efficiency by leveraging technology to meet the unique needs of their clients and foster long-term partnerships.

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