Freelancer profile translated to English.
Back to original languageAbout Alpha-Omar
Data Analyst specializing in Finance & AI, with a strong appetite for data quality and reliability.
PROFILE
- 4 years of data experience in a corporate environment (Orange via
Akkodis, FIRALP, Arobase) on multi-million line volumes
- Design and maintenance of Power BI dashboards for business users of all hierarchical levels (operational to management)
- Concrete data quality work: design and execution of controls, reliability of reference data, improvement of trust in reporting
- Regulated finance certifications: AMF, CIF (Financial Investment Advisor), IOBSP/IAS — a rare combination for a data professional
TECHNICAL STACK
- Languages: SQL, Python (pandas, NumPy, SQLAlchemy)
- BI & visualization: Power BI, Advanced Excel
- Data: SQLite, relational SQL databases, quality controls, reference data reliability
- AI & automation: LLM, API integration (Groq), Process automation
- Tools: Git/GitHub, Make.com
MISSION TARGETS
- Data Analyst specializing in finance/markets
- Data Quality Engineer
- Data Analyst for data reliability and performance steering issues
PERSONAL PROJECT
AlphaDesk — automated portfolio performance analysis assistant (Python, LLM, Power BI).
Code: github.com/Omarus23/AlphaDesk
TERMS
- Long-term mission (>= 2 months) or permanent contract depending on opportunity
- Daily rate: €450 (negotiable depending on mission)
- Location: Lyon, Paris or full remote
- Availability: to be specified depending on context
French
Native or bilingual
English
Fluent
Can work on-site
Lyon (up to 10km)
Experience
- FreelanceFreelance Consultant — Strategy & FinanceCONSULTING AND AUDITSNovember 2024 - December 2025 (1 year and 1 month)Lyon, France• Supporting executives, founders, and entrepreneurs, while actively repositioning towards the AI & Finance Data Analyst profession.• Business structuring and operational roadmap, project scoping (products, services, fundraising).• Financial monitoring (budget, cash, profitability) — dual expertise in data (Orange, FIRALP, Arobase) and regulated fields (AMF, CIF, IOBSP/IAS) leveraged for clients.
- Orange Wholesale FranceData Analyst ConsultantTELECOMMUNICATIONSSeptember 2023 - April 2025 (1 year and 6 months)Lyon, France• Design and maintenance of Power BI dashboards for business users of all hierarchical levels (operational to management), on volumes of several million lines.• Development of an automated dashboard covering the entire chain (data retrieval, business calculations, visual reporting) — eliminating manual processing for user departments.• Design and execution of data quality controls on internal sources: detection of inconsistencies, reliability of reference data, improvement of trust in reporting.• Translation of business needs into data specifications through direct exchanges with stakeholders.
- Groupe FIRALPBusiness Intelligence DeveloperCIVIL ENGINEERINGMarch 2023 - July 2023 (4 months)Lyon, France• Collaboration with the finance department (CFO, management control) to steer the design, development, and deployment of BI solutions.• Design and implementation of financial dashboards and reports (KPIs) for performance monitoring and decision-making.• Automation of reporting and financial strategic watch processes; writing and maintaining documentation.
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Education
- Financial Investment AdvisorORICA Formation2025Connaissances générales : Environnement réglementaire et déontologique, règles de bonne conduite et d'organisation des conseillers en investissements financiers. Connaissances techniques : Instruments financiers, cryptoactifs, gestion collective, fonctionnement et organisation des marchés, émission et opérations sur titres. Connaissances comptables et financières : Comptabilité, analyse financière, et gestion des risques.
- Data AnalystOpenclassrooms2022=> Réaliser une modélisation de données pour segmenter une audience marketing ; => Analyser les ventes afin d'améliorer la stratégie de l'entreprise ; => Interroger une base de données statistiques pour répondre aux questions métiers ; => Créer des tableaux de bord avec des graphiques et des indicateurs de suivi pour suivre et analyser les résultats ; => Collecter, agréger et nettoyer les données pour les études de marché. Compétences : SQL · Microsoft Power BI · Python (langage de programmation) · Microsoft Excel