DATA ANALYST

Nous recherchons un Data Analyst pour une mission de 3 mois renouvelables sur Paris.

Mission :

• As a Data Analyst, you will:
  
• Get and document functional requirements from Data Management and Data Ref clients
  
• Understand the current process and the data underneath to supplement business requirements with additional edge cases to offer the best solution to our business partners
  
• Write User stories for Engineers to implement
  
• Write down acceptance criterias and tests scenarios to validate that the change is correctly implemented
  
• Perform ad-hoc analysis around data referentials to support
  
• Potentially write small scirpts in SQL/Python to help with the above tasks
  
• Document the new features to hand over the process to Production services
  
• Implement business Data strategies build new Datasets from internal and external Data
  
• Prepare requirements around Data Quality
  
• Be able to model datasets based on business requirements but also with a view that those models will be used more broadly among data consumers.
  
• Understanding of what Meta Data might be used for the Data Cataloguing solution
  
• Understanding / Maintenance of Data Cataloguing solution would be required

Key Job Dimensions 

Financial Responsibility

• Business case preparation
• Project execution

Key Interfaces

Internal :

• Data Engineering, Neoxam Developpers, Architecture, Technology Leaders, Technology staff
  
• Data Management, Data stewards, business teams
  
• Business sponsors

External :

• Technology solution providers
  
• Data providers

Role Requirements :

Education / Qualifications / Key experiences : 

• Master’s degree, in Computer Science, Engineering, Mathematics or a related field
  
• Experience in defining, implementing and test Data Pipelines
  
• Experience delivering small to medium scale projects
  
• Experience with Senior Stakeholders
  
• Strong experience in the design and implementation of several of the following:
  
• Master & Reference Data Management
  
• Metadata Management
  
• Data Quality Management
  
• Data Analytics and BI
  
• Data Modelling
  
• Data Exchanges
  
• English - Fluent in speaking and writing

Technical competences

• Neoxam Data Hub
  
• Databricks (ideal)
  
• SQL
  
• Cloud computing practices: Infra as Code, security (preferably on Azure)
  
• Understanding of APIs and how to test them
  
• Git + CD/CI principles
  
• Spark principles

Soft skills and competencies

• Ability to think strategically about business, product, and technical challenges in an enterprise environment
  
• Ability to collaborate effectively across organizations with a vast variety of stakeholders: business, compliance, developers, data managers, project managers
  
• Strong problem-solving skills
  
• Result oriented
  
• Self-motivated, proactive and able to work in a complex organization
  
• Leadership, influence and conflict resolution
  
• Team player in a multi-cultural work environment, able to see the big picture as well as deep dive into details when necessary.