About Youcef
Lead Data Analyst & Product management BI (Tableau / Modern Data Stack)
French
Native or bilingual
English
Fluent
Experience
- Hipto (Acquisition marketing)Lead Data AnalystSOCIAL NETWORKSDecember 2021 - March 2026 (4 years and 3 months)Paris, France
Head of the B.I Department (Analytics & Engineer)
Created the Data / B.I department at hipto, specializing in marketing acquisition challenges on social ad platforms (Facebook, TikTok, etc.) and search ads (Google and Bing). Also created financial pipelines for the automation of many accounting and management control processes.**On the Analytics side**:- Led the data analytics strategy in alignment with hipto's objectives (product, marketing acquisition, and finance), defining (and by extension, modeling) key KPIs for performance monitoring.
- Designed and industrialized dashboards and strategic chatbots (AI).
- Created dashboards on Tableau software and conversational agents for activity monitoring. Standardized and harmonized KPIs for Tableau and conversational AI agents (via BigQuery + Claude A.I and Make/n8n builder tools).
- Defined and modeled cross-functional strategic KPIs.
- → E-commerce Funnel (acquisition, conversion, retention, drop-off attribution, etc.) by implementing the Data Layer for Google Analytics 4 tracking.
- → CRM Performance (churn, LTV, customer segmentation, email open rates, customer cohorts by acquisition date and channel).
- → Financials (revenue, margins, YoY/YtD growth, and key financial ratios).
On the Engineer side:- Created the modern data stack pipeline (GCP + DBT/Dataform + Tableau) in a medallion architecture.
- Managed ETL and orchestration with Airflow/Google Cloud Composer (+ API scripts to extract data).
- Customized real-time alerts on Slack (Pub/Sub x Cloud fun.c x BQ).
- Created dashboards for various members of the Executive Committee and business teams.
- AI: real-time KPI prediction for acquisition using Spark.
- Data Governance with Datahub.
- Natixis (departement paiement)Data analystBANKING AND INSURANCEMay 2019 - December 2021 (2 years and 7 months)Paris, France
Finance & Compliance Data Analyst
Assisted in evaluating the financial health of Natixis's payment department, financial results (profit and loss), operating accounts, and monthly reconciliation reports for the Banque de France:- Developed data pipelines and scripts in Python (Pandas, NumPy) and SQL for financial data analysis and processing.
- Automated financial reporting processes → reduced processing time by 20% (ETL, scheduling, data workflows).
- Designed and deployed interactive dashboards on Power BI based on business needs (KPIs, performance monitoring).
- Collaborated cross-functionally with IT, Product, and Finance teams to implement data visualization solutions and improve decision-making.
- Implemented data storage and processing solutions on AWS (S3) to automate P&L and cash flow reports.
- Performed data reconciliation and quality control of financial data (compliance, Banque de France, CFO).
- Conducted exploratory analysis and variance analysis with business recommendations.
- Developed supervised machine learning models to aid decision-making (prediction/classification of potentially fraudulent transactions).
- KPMGAuditCONSULTING AND AUDITSSeptember 2016 - May 2018 (1 year and 8 months)Paris, France
Audit of financial statements for major accounts including Continental, Baccarat, and General Electric.
Assisted in and improved the management of the income statement by calculating and implementing various financial ratios:- Liquidity ratios
- Asset ratios (inventory turnover, asset turnover ratio)
- Profitability ratios (ROE, ROAS, gross and net margin, etc.)
- Operating ratios (Debt/Equity, Debt/Assets...)
Analysis of the cash cycle:- Cash conversion cycle
- Average inventory days (DIO)
- Average days sales outstanding (DSO)
- Cash conversion cycle (CCC)
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Education
- Data Engineer TrainingEcole des mines Paris & Datascientest2024Formation Data ingénieur
- Master of Financial ManagementUniversité de Lorraine2016Master de Gestion financière