Freelancer profile translated to English.
Back to original languageAbout Ziyed
Senior Data Analyst / Business Analyst – Expert in Data Governance, Data Quality and Business Intelligence, with over 8 years of experience in leveraging and ensuring the reliability of data to drive business performance. Proven experience in implementing governance, BI analysis, and data quality solutions in complex environments (luxury, insurance, banking).
English
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- CartierData StewardJune 2025 - Today (1 year and 2 months)Geneva, Switzerland• Analyze and resolve Jira tickets related to data inconsistencies.• Identify the causes of discrepancies between Country of Purchase and Market of Purchase.• Evaluate the impact of anomalies: number of transactions, customer volume, and affected revenue.• Propose corrective solutions to ensure data reliability and improve consistency between systems.• Implement a "First Time Right" (FTR) KPI on the Europe dashboard to improve the completeness and quality of customer data during in-store purchases.• This KPI is intended to be used as a performance indicator for calculating Sales Associates' bonuses, based on their FTR rate.
- HermèsData Quality Project ManagerLUXURY GOODSJanuary 2025 - June 2025 (5 months)• Propose initialization methods to the client data architect.• Organize initialization tests on a sample of 1 million customers in a UAT environment, in collaboration with the developers of the concerned systems.• Validate technically and present performance results to architects for arbitration.• Validate 8 million phone numbers and 6 million email addresses with the DQE provider according to business rules (e.g., retail customers with consent and valid formats).• Extract data via the Customer Datalake team, encrypt using VeraCrypt, then execute the DQE validation algorithm on a secure Hermès VM.• Transmit enriched results (valid/invalid field and reason) for integration into the Datalake.
- Christian Dior CoutureSenior Consultant Data Governance & Data QualityLUXURY GOODSDecember 2021 - December 2024 (3 years)Paris, France• Analyze and qualify Data Quality issues for the Customer domain.• Propose technical rules for account merging, profiling, and consent management.• Document data dependencies and flows in Data Galaxy, validate with Data Owners.• Analyze inter-system flows (Cegid, SFMC, Data Platform GCP) to identify incident causes.• Contribute to the implementation of a media validation API (phone, social networks) compliant with LVMH, GDPR, and PIPL standards.• Manage Jira tickets and ServiceNow authorizations for quality dashboards.• Lead the migration of dashboards (Customer / Product / Data Capture Data Cockpit) to Power BI.• Perform ad-hoc analyses: quality scoring, customer segmentation (Elite / VGC / GC) using SAS, Python, and Dataiku.• Participate in data governance: assign roles (Data Steward / Data Owner), document KPIs and business glossaries.• Continuously improve the quality of Customer, HR, and Product data through statistical indicators.• Comply with GDPR, PIPL (China CBDT), and Consent Profiling (Korea) regulations.
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Education
- Master MIAGEUniversité Paris 1 Panthéon-Sorbonne2017Master MIAGE
- Computer Engineering DegreeÉcole d'Ingénierie et de Technologie2016Diplôme d'ingénieur en informatique