Business Data Analyst

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 :
Support MFS internal clients (countries and corporate functions) in their data projects, help them express their needs, advise and guide them on possible solutions:
Communicate and promote Data Platform solutions in the different subsidiaries and in Corporate
Foster the identification of Data Platform use-cases opportunities and added values for business
Ensure the consistency of Data Platform projects, their alignment with strategy and their compliance (data privacy, data governance, security...)
Identify the potentials adherences between the Data platform projects and make propositions accordingly (grouping, carry over , prioritization...)
Transform clients needs in functional requirements, produce the appropriate documentation for Go/No Go decision, prioritization and development
Steer and follow Data projects, on QCD axis, from framing to go live, in Agile method
Ensure compliance and its auditability with Data project methodology and delivery of project documentation
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 marketing, digital, regulatory, financials & controlling
Define and follow the QCD KPI's and report the progress of the projects he/she is in charge of
Ensure the business validation of the finished products
Ensure training and operational usage of the finished products
Guarantee the finished products from delivery in production to serial life management Detailed responsibilities
Frame the Data Platform use cases for the Go/No Go decision and prioritization
Ensure that the projects prerequisites are met
Ensure each project KPIs will be measurable and measured
Formalize through the business requirements documentation, the business need and the different features to set up
Take the project to Data Factory and Data Office
Challenge, validate or invalidate the solution and the schedule proposed
Roll out the different project phases he/she is in charge of, from framing to go live, on QCD axis, following the methodology applied to Data Factory project (agile method) and coordinating stakeholders actions
Steer project committees and comitology
Prepare projects reporting for steering committees to present QCD KPIs he has built and followed
Set up test plans and follow their roll out
Ensure the proper delivery in production of the finished product
Ensure training and operational usage of the finished products
Ensure the maintenance of the finished product
Ensure that the project documentation has been created in accordance with Data Factory method
Prepare all necessary presentation of the project
Propose methodological modifications
Required skills / required experience
Basic SQL Level :
ability to perform simple requests
Data analysis skills
Project management or Project owner support experience required
Excellent written and verbal communication skills
Business process analysis and data analysis appetence
Animation, coordination, and teamwork appetence
Synthetic spirit, organization and pedagogy required
Knowledge of the banking, insurance, automobile sectors appreciated
Knowledge or appetence for Big Data technologies, AI, Data engineering and Data Science appreciated
Knowledge or appetence for Agile method and related tools
Pack Office mastery
Job Family Information Technologies & Systems Company DIAC SA Job Description 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 :
Support MFS internal clients (countries and corporate functions) in their data projects, help them express their needs, advise and guide them on possible solutions:
Communicate and promote Data Platform solutions in the different subsidiaries and in Corporate
Foster the identification of Data Platform use-cases opportunities and added values for business
Ensure the consistency of Data Platform projects, their alignment with strategy and their compliance (data privacy, data governance, security...)
Identify the potentials adherences between the Data platform projects and make propositions accordingly (grouping, carry over , prioritization...)
Transform clients needs in functional requirements, produce the appropriate documentation for Go/No Go decision, prioritization and development
Steer and follow Data projects, on QCD axis, from framing to go live, in Agile method
Ensure compliance and its auditability with Data project methodology and delivery of project documentation
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 marketing, digital, regulatory, financials & controlling
Define and follow the QCD KPI's and report the progress of the projects he/she is in charge of
Ensure the business validation of the finished products
Ensure training and operational usage of the finished products
Guarantee the finished products from delivery in production to serial life management Detailed responsibilities
Frame the Data Platform use cases for the Go/No Go decision and prioritization
Ensure that the projects prerequisites are met
Ensure each project KPIs will be measurable and measured
Formalize through the business requirements documentation, the business need and the different features to set up
Take the project to Data Factory and Data Office
Challenge, validate or invalidate the solution and the schedule proposed
Roll out the different project phases he/she is in charge of, from framing to go live, on QCD axis, following the methodology applied to Data Factory project (agile method) and coordinating stakeholders actions
Steer project committees and comitology
Prepare projects reporting for steering committees to present QCD KPIs he has built and followed
Set up test plans and follow their roll out
Ensure the proper delivery in production of the finished product
Ensure training and operational usage of the finished products
Ensure the maintenance of the finished product
Ensure that the project documentation has been created in accordance with Data Factory method
Prepare all necessary presentation of the project
Propose methodological modifications
Required skills / required experience Fluent English

Basic SQL Level :
ability to perform simple requests
Data analysis skills
Project management or Project owner support experience required
Excellent written and verbal communication skills
Business process analysis and data analysis appetence
Animation, coordination, and teamwork appetence
Synthetic spirit, organization and pedagogy required
Knowledge of the banking, insurance, automobile sectors appreciated
Knowledge or appetence for Big Data technologies, AI, Data engineering and Data Science appreciated
Knowledge or appetence for Agile method and related tools
Pack Office mastery

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