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Lossou Victorien HlontorLV

Lossou Victorien Hlontor

Data Analyst BI | Analytics Engineer

€650/day
Paris, FR
3-7 years

Average response time: A few days

Freelancer profile translated to English.
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About Lossou Victorien

Looking for a BI data analyst / Analytics Engineer?
You've come to the right place

I am a Data Analyst with BI expertise and over 7 years of experience.
I have worked in various sectors such as banking, telecommunications, public sector, and healthcare.

I have collaborated with companies such as Monabanq, SFR, Opco Sante, Oney.

I have the following certifications:
- Microsoft: Power BI Data Analyst Associate
- Dataiku: Core Designer

As a BI Data Analyst / Analytics Engineer, I can assist you with:

✅ Refactoring BI architecture (database modeling)
✅ Optimizing SQL queries and pipelines
✅ Integration and preparation of reliable and performant data
✅ Creating reports on Excel, Power BI, and others
✅ Presenting analyses to facilitate decision-making
✅ Analyzing and suggesting KPIs for better activity monitoring
✅ Retrieving data from various sources (API, SQL databases)
✅ Transforming data to obtain clean data (ETL)
✅ Creating and maintaining data aggregation tables for analysis needs
✅ Data Project Management: Requirements gathering, Needs analysis
✅ Training and supporting business teams

⚙️ Technical Stack:
📌 BI and Cloud:Power BI, MSBI (SSIS, SSRS, SSAS),Snowflake, GCP
📌SQL:SQL Server, Hive, Impala, Dataiku
📌 Languages: DAX, MDX, Transact SQL
📌 Integration Tools: Azure DevOps, GCP BigQuery, GitHub
📌 AI/LLM: Copilot, ChatGPT, Gemini

👨💼 Why work with me?
✔️ Solid expertise: BI projects (migration, maintenance, optimization)
✔️ Effective collaboration: Good communication, adaptability, and commitment

I also place great importance on transparency with my clients.

Do you have a project? Contact me! 🚀

--
data analyst, power bi, SQL data analyst, BI Consultant, Analytics Engineer, data & adoption, adops
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km), Lyon (up to 50km), Lille (up to 50km), Bordeaux (up to 50km), Marseille (up to 50km)

Experience

  • Monabanq
    Data Analyst Risk
    BANKING AND INSURANCE
    April 2025 - January 2026 (9 months)
    Lille, France
    Monabanq is an online bank belonging to the Crédit Mutuel Alliance Fédérale group. It offers a full range of banking services (current accounts, cards, savings, credit).
    Monabanq serves approximately 320,000 customers in France and has nearly 400 employees.

    I joined the data team of the risk department. I participated in the operational monitoring of debt collection.

    My responsibilities:
    o Collaboration with business and data teams
    o Scoping business needs
    o Extraction and analysis of large volumes of data
    o Running existing reports and improving performance
    o Creating reports for activity monitoring and performance tracking
    o Ensuring the quality and reliability of KPIs
    o Automating tracking
    o Optimizing data flow performance
    o Data exploitation and provision
    o Identifying improvement opportunities
    o Documenting processes

    Technical context:
    Analytics Engineer,
    Risk,
    Debt Collection,
    Banking,
    Data Analysis,
    Statistical Analysis,
    Data Quality,
    Cleaning,
    SQL,
    Excel,
    SAS,
    ETL,
    Modeling,
    Reporting,
    Pipeline, BI, Data Analysis, Collection, Statistics, Agile Methods, Scrum, Microsoft, KPI, Reporting, Dashboards, Business, Power BI, Cube, R, DAX, Testing, Acceptance, Database, MDX, Business, Dataiku, Python
    Microsoft Power BI Microsoft Excel Debt Collection Banking Data Analysis
  • SFR
    KPI Developer
    TELECOMMUNICATIONS
    April 2023 - March 2025 (1 year and 10 months)
    Paris, France
    SFR is an innovation company and the 2nd largest French operator. It transforms usage through a powerful Fiber, 4G, and 5G network.
    The company supports nearly 27 million customers daily and has 8,000 employees.

    I joined the data architecture team. I developed FTTH and FTTE regulatory KPIs.

    My responsibilities:
    o Collaboration with business and data teams
    o Scoping KPIs and drafting requirements
    o Database modeling
    o Optimizing data pipeline performance
    o Collecting, cleaning, and analyzing data necessary for KPI creation
    o Developing and optimizing SQL queries
    o Acceptance and validation testing with business teams
    o Automating KPI calculations and improving reporting processes
    o Migrating tables and scripts to GCP BigQuery
    o Organizing and leading workshops to validate KPIs with business teams
    o Creating dynamic dashboards in Power BI for real-time KPI monitoring
    o Writing and updating specification and tracking documents

    Here is the link to my client's internal site: www.sfr.fr

    Technical context:
    Data Analysis,
    Cleaning,
    Reliability,
    FTTH,
    FTTE,
    Scoping,
    Business Intelligence,
    BI,
    SQL,
    Hive,
    Microsoft Power BI,
    Scoping,
    Teamwork,
    DAX,
    Documentation, Acceptance, DBT, Impala, Naja, Jira, Teradata, GCP BigQuery, Git, bash, PowerShell, Confluence, performance indicator, KPI, ETL, Testing, Production, Snowflake
    SQL Hive Data Analysis Microsoft Power BI Reporting
  • OPCO Santé
    BI Consultant
    PUBLIC SECTOR
    October 2021 - April 2023 (1 year and 6 months)
    Paris, France
    OPCO Santé is the skills operator for healthcare professionals.
    It covers 6 sectors of activity: healthcare, social services, disability, elderly care, thalassotherapy, prevention, and occupational health.
    OPCO Santé currently supports over 11,000 companies and associations and over 1,000,000 employees.

    I joined the IT department of OPCO Santé to maintain the existing SSAS cube and participated in the development of the new BI information system.

    My responsibilities:
    o Collaborating with various data and business teams
    o Managing incidents and resolving technical issues related to data flows
    o Continuously optimizing the performance of stored procedures and data flows to minimize execution times
    o Validating acceptance testing and deploying changes to production
    o Writing technical documentation to ensure rigorous tracking of changes and best practices
    o Scheduling data flows
    o Designing the data model (Data Warehouse, Data Mart)
    o Creating stored procedures for populating and orchestrating flows
    o Integrating data into tables, checking integrity and consistency
    o Improving data flow performance
    o Unit/technical testing on ETL/SQL
    o Performing unit tests to ensure development quality
    o Deploying across multiple environments: Integration/Versioning: Git, CI/CD pipelines
    o Data exploration and defining business needs
    o Developing complex dashboards in Power BI
    o Managing user roles and access to reports and dashboards
    o Monitoring user feedback to adjust dashboards to the company's actual needs
    o Presenting visualizations to users

    Technical Context:
    Agile,
    Modeling,
    Relational Databases,
    SQL Server
    Business Intelligence
    SQL,
    Big Data
    SSIS SSAS SQL Microsoft Power BI Azure DevOps

Recommendations

Philippe-Alexandre Bécué-TyssierPB
Lilian AlvarezLA
Philippe-Alexandre Bécué-Tyssier and 1 other person have recommended Lossou Victorien

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Education

  • Engineering Degree, Computer Science Statistics
    Polytech'Lille
    2020
    Polytech Lille, est une école d’ingénieur du réseau Polytech regroupant aujourd’hui 16 écoles sur le territoire national. Polytech Lille dispose plus de 10 spécialités et existe depuis 50 ans J’ai suivi la formation Génie informatique et Statistique. La formation GIS, équilibrée entre informatique, statistique et gestion, forme des ingénieurs capables de répondre à ces nouveaux besoins. Dans le domaine de l’informatique, l’ingénieur GIS sait créer, organiser, sécuriser les systèmes d’information d’entreprise et maîtrise la circulation de l’information au sein de celles ci. Dans le domaine de la statistique, il sait également modéliser, exploiter, optimiser et analyser des grands ensembles de données. Le département GIS forme ainsi des ingénieurs spécialistes du traitement de l’information, sous ses aspects à la fois informatique et statistique, répondant à l’évolution des métiers de l’entreprise
  • University Diploma in Technology, Statistics and Decision IT
    Université Nice Sophia Antipolis (member of Université Côte d'Azur)
    2017
    Formation orientée sur l'apprentissage du traitement informatique de données, des statistiques et de l'informatique décisionnelle. Matières principales: Statistiques descriptives, statistiques inférentielles, régression linéaire, analyse de données, programmation, Data mining , Économie et Gestion des projets

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