Senior IT Business Analyst Data - Freelance - Retail/Luxury Experience

Project overview

Context

As part of its digital transformation strategy and customer data valorization, a luxury sector company is strengthening its Data teams and is looking for a Senior IT Business Analyst capable of supporting projects related to Customer 360.

The objective is to consolidate, validate, and exploit customer data from multiple systems (CRM, e-commerce, retail, marketing, loyalty, customer service, etc.) in order to propose a unified customer vision and improve business decision-making.

The consultant will work in an international environment and in close collaboration with Business, Data, Architecture, Development, QA, and Product Management teams.

Missions

Business Analysis

Data Analysis

Customer 360

Flow and Integration Management

Data Migration

Tests and Quality

Technical Environment

Data

Integration

Project Tools

Methodologies

• Translate business needs into Data solutions usable by technical teams.
• Ensure a good understanding of business needs.
• Model necessary data.
• Ensure the quality and consistency of data flows.
• Write functional and technical specifications.
• Validate testing processes.
• Ensure the success of Customer 360 initiatives.
• Gather functional requirements from stakeholders.
• Lead scoping workshops.
• Challenge requests to identify true business needs.
• Formalize existing and target processes.
• Identify functional and technical impacts.
• Define Data use cases.
• Write detailed functional specifications.
• Produce User Stories.
• Define acceptance criteria.
• Maintain project documentation.
• Write business rules.
• Build traceability matrices.
• Analyze existing data.
• Perform SQL investigations.
• Understand data models.
• Participate in the definition of repositories.
• Identify data quality anomalies.
• Ensure reconciliation between business needs and data structures.
• Participate in the construction and evolution of the 360° customer vision.
• Contribute to CRM and CDP initiatives.
• Define customer data consolidation rules.
• Participate in Master Data Management activities.
• Ensure the consistency of customer attributes across the IS.
• Analyze inter-application flows.
• Understand API exchanges.
• Participate in interface design.
• Analyze JSON, XML, and CSV messages.
• Identify impacts related to flow evolutions.
• Participate in integration phases between systems.
• Participate in migration projects.
• Define transformation rules.
• Perform source/target mappings.
• Secure data recovery strategies.
• Validate the quality of migrated data.
• Define testing strategies.
• Write test scenarios.
• Conduct acceptance testing campaigns.
• Coordinate UAT phases.
• Analyze anomalies.
• Validate corrections.
• Ensure the quality of deliverables.
• Advanced SQL
• Snowflake
• Dataiku
• Azure Data Platform
• Data Warehouse
• Data Lake
• Data Governance
• Data Quality
• Data Mapping
• MDM (Master Data Management)
• REST API
• JSON
• XML
• CSV
• Middleware
• ETL / ELT
• Jira
• Confluence
• SharePoint
• Xray
• Postman
• Newman
• Agile Scrum
• Kanban
• SAFe
• V-Cycle (occasionally)

Project details

• Start: flexible
• Remote: hybrid
• Location: 92800 Puteaux, France, FR
• Languages: French