Freelancer profile translated to English.
Back to original languageAbout Christophe
Senior Data Business Analyst (banking & insurance), I support business departments in transforming their data into steering and decision-making levers.
With over 20 years of experience in BI / Data (SAS, SQL, datamarts, reporting), I work at the business/IT interface to frame requirements, formalize business rules, and ensure data quality.
I have strong expertise in finance, risk, management control, and compliance (IFRS9, KPI, data quality, data lineage), as well as in marketing and CRM.
My concrete contributions:
• Requirement framing & workshop facilitation
• Data modeling (datamart, indicators, analysis dimensions)
• Testing strategy & business validation (SQL tests, reconciliation)
• Improvement of data quality and traceability
• Change management & user support
My role: to ensure the translation of business needs into reliable, usable data aligned with business objectives.
French
Native or bilingual
Persian
Native or bilingual
Arabic
Basic
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- Société GénéraleExpert Data AnalystBANKING AND INSURANCEAugust 2023 - November 2025 (2 years and 3 months)Puteaux, FranceWithin the Business Data Department, in a multi-market banking decision-making environment (individuals, professionals, businesses), interacting with Marketing, Risk, and Compliance teams:- Framing and formalizing business needs for the implementation of steering indicators (attrition, penetration, KYC, scoring)- Functional modeling of decision-making datamarts (facts, dimensions, KPIs, reference data) for marketing and risk uses- Definition and implementation of business rules and analysis dimensions for monitoring business performance and compliance- Structuring and evolution of study and steering datamarts used by business departments- Implementation of data quality, completeness, and traceability controls (Data Quality / Data Governance)- Identification and correction of critical anomalies impacting business KPIs- Close collaboration with IT teams to secure flows, ensure data reliability, and guarantee the consistency of reporting- Contribution to strategic use cases: attrition & loyalty, customer onboarding, cross-selling, marketing campaigns, scoring, KYCImpacts:- Data reliability for marketing and compliance steering- Security of key indicators used by business departments
- Banque de FranceSenior Business AnalystBANKING AND INSURANCEMarch 2022 - July 2023 (1 year and 4 months)Paris, FranceWithin the IT Department, using Agile methodology, creation of the N-ACSEL decision-making platform for economic and financial studies:- Framing and formalizing business needs in conjunction with statistical and economic teams- Writing detailed functional specifications for the implementation of decision-making indicators and reporting- Contribution to structuring data and KPIs for economic and territorial analyses- Participation in the testing strategy (test plan, datasets, validation scenarios)- Coordination with IT teams to ensure data and reporting consistencyImpacts:- Creation of the first data visualization platform at the BDF in a Big Data environment- Data reliability for public policy steering
- GMF AssurancesData Project Manager / Business AnalystBANKING AND INSURANCEMarch 2020 - January 2022 (1 year and 10 months)Levallois-Perret, FranceWithin the IT Department, brought GMF's Datawarehouse into compliance with GDPR standards:- Framing and management of the GDPR project for GMF's decision-making system:- Facilitation of business workshops and coordination of project stakeholders- Mapping of the Information System and identification of sensitive data (traceability, compliance, governance)- Writing remediation specifications for the service center- Conducting studies: impact analyses of GDPR data purges on the Data Hub, feasibility studiesImpacts:- GDPR compliance of the Information System and security of sensitive data- Improved data traceability and governance
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Education
- DU BIG DATAUniversité Paris Descartes2019Big Data, BI, Data Science, R, Hadoop, MongoDB, apprentissage supervisé et non supervisé, classifications etc.
- Master's Specialized CRMESC RENNES2004Systèmes d'informations, Marketing Client, Statistiques, Gestion de projet