Data Business Analyst H/F - Mobilize Financial Services

En route vers Mobilize !



A l'écoute de tous nos clients, nous créons des services financiers innovants pour construire une mobilité durable pour tous.



Rejoindre Mobilize Financial Services, c'est d'abord choisir d'intégrer un groupe international, filiale de Renault Group, une banque de financement solide, partenaire des constructeurs Renault et d'autres marques du secteur automobile. Nos 4 000 collaborateurs résents dans 35 pays, agissent ensemble au service de nos clients.



Nous proposons à nos clients - particuliers comme professionnels - les financements et les services les plus adaptés pour les véhicules neufs et d'occasion.



Nous finançons également l'activité des réseaux de concessionnaires des marques du groupe Renault et nous veillons à faciliter leur gestion au quotidien pour leur permettre de développer leurs ventes et assurer leur pérennité financière.



Mobilize Financial Services a financé plus de 1,2 million de dossiers (véhicules neufs et véhicules d'occasion) en 2023 et vendu 3,9 millions de services. À fin décembre 2023, les actifs productifs moyens sont de 51,2 milliards d'euros de financement et le résultat avant impôts est de 1 034 millions d'euros. Nous proposons également des offres d'épargne dans 7 pays.

Notre entreprise se "MOBILIZE" en faveur de la diversité culturelle, l'égalité hommes-femmes et l'intégration de personnes en situation de Handicap, au travers notamment de notre Chartre. Nous favorisons un environnement de travail où les différences individuelles sont reconnues, appréciées, respectées et valorisées, de façon à mettre à profit les talents et les forces de chacun.
In the Data Factory Team, reporting to the Data Management Director, the Business Analyst is the proxy Product Owner inside the Data Factory and internal Head of Project.

He/She has to:

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Support MFS internal clients (countries and corporate functions) in their data projects, help them express their needs, advise and guide them on possible solutions:

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Communicate and promote Data Platform solutions in different subsidiaries and in Corporate

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Transform clients' needs into functional requirements, produce the appropriate documentation for Go/No Go decision, prioritization and development

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Steer and follow Data projects, on QCD axis, from framing to go live, in Agile method

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Ensure compliance and its auditability with Data project methodology and delivery of project documentation

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Ensure, all along the projects, actions coordination between the different stakeholders, in Corporate and in Subsidiaries: Project Owner, Data Governance, Data Privacy, Data Factory (Data Engineering, Data Science, IT & Data Architecture) and the businesses involved such as credit, marketing, digital, regulatory, financials & controlling

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Define and follow the QCD KPI's and report on the progress of the projects he/she is in charge of

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Ensure the business validation of the finished products

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Ensure training and operational usage of the finished products

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Guarantee the finished products from delivery in production to serial life management

Detailed responsibilities

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Frame the Data Platform use cases for the Go/No Go decision and prioritization

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Ensure that the projects' prerequisites are met

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Ensure each project KPIs will be measurable and measured

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Formalize through the business requirements documentation, the business need and the different features to set up

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Take the project to Data Factory and Data Office

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Challenge, validate or invalidate the solution and the schedule proposed

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Roll out the different project phases he/she oversees, from framing to go live, on QCD axis, following the methodology applied to Data Factory project (agile method) and coordinating stakeholders' actions

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Steer project committees and comitology

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Set up test plans and follow their roll out

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Ensure the proper delivery in production of the finished product

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Ensure training and operational usage of the finished products

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Ensure the maintenance of the finished product

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Ensure that the project documentation has been created in accordance with Data Factory method

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Prepare all necessary presentations of the project

Required skills / required experience

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Fluent English

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Basic SQL Level: ability to perform simple requests

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Data analysis skills

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Project management or Project owner support experience required

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Excellent written and verbal communication skills

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Business process analysis and data analysis appetence

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Animation, coordination, and teamwork appetence

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Synthetic spirit, organization and pedagogy required

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Knowledge of the banking, insurance, and automobile sectors appreciated

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Knowledge or appetence for Agile method and related tools

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Pack Office mastery

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Knowledge/appetence for Big Data technologies, AI, Data engineering and Data Science appreciated