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Manon Mounier-PironMM

Manon Mounier-Piron

Senior Data Analyst / Data Scientist

650 €/jour
Paris 11e Arrondissement, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Manon

Graduated with a Master's degree in Econometrics from TSE (Toulouse School of Economics), I have accumulated five years of experience as a data analyst/scientist across a wide range of sectors: wine and spirits, fair trade, mobile applications, consulting, luxury, import/export, and more. As a data analyst, I will support you in analyzing your data, developing tools, building dashboards to help you visualize your results effectively, as well as improving your existing tools.

  • Français

    Bilingue ou natif

En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • Fairtrade
    Senior Data Analyst
    AGROALIMENTAIRE
    avril 2024 - Aujourd'hui (2 ans et 2 mois)
    ▪ In collaboration with Fairtrade International, creation and deployment of a traceability solution to map coffee supply chains
    ▪ Built from scratch all processes related to the cleansing, quality and structuration of transactional data in order to build this
    solution
    ▪ Design and delivery of automatic reports for coffee organizations presenting various metrics based on the monitoring and
    quality of their supply chains
    ▪ Conception of a Power BI dashboard to automate the delivery of reports
    ▪ Integrated multi-source data and developed automated pipelines using Microsoft Fabric
    ▪ In charge of enhancing processes related to the quality and productivity of data for Max Havelaar France
    ▪ Main tools used: Python, Microsoft Fabric, Azure Devops, Power BI, Excel, Notion
    Python Microsoft Power BI Microsoft Azure Azure DevOps
  • Pernod Ricard
    Senior Data Analyst
    VINS & SPIRITUEUX
    juin 2022 - décembre 2023 (1 an et 6 mois)
    Paris, France
    ▪Implementation of marketing mix modelling solutions within several entities of the Pernod Ricard Group (Mexico and Brazil)
    ▪ Responsible for the data collection (identification, collection and storage), data preparation (cleansing and structuring) and
    data validation (formatting and presentation) phases - led the processes with the two different entities during these three
    phases
    ▪ Integrated multi-source data and developed automated pipelines using Snowflake and Databricks
    ▪ Development and delivery of various KPIs to optimize the performance of marketing strategies for both entities
    ▪ Involved in the training of new team members
    ▪ Main tools used: Python, DBT, Azure Devops, Snowflake, Databricks, Power BI, Git, Excel, Jira, Notion
    DBT Azure DevOps Python Databricks Microsoft Power BI
  • Deloitte
    Data Analyst
    CONSEIL & AUDIT
    mars 2022 - juin 2022 (3 mois)
    ▪ Involved in a statistical analysis project applied to competition law
    ▪ Responsible for the data preparation phase of this project
    ▪ Main tools used: R, R Shiny, Git, Excel, PowerPoint
    RStudio Microsoft Powerpoint Rmarkdown R Shiny Git

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Formations

  • Master Econometrics and Empirical Economics
    Toulouse School of Economics
    2019
    Econometric Methods for Empirical Economics, Python, Database Management System, Panel Data, Nonparametric Econometric Methods, Big Data, High-dimensional models
  • Licence Economics
    Toulouse School of Economics (TSE)
    2016
    Econometrics, R programming, Industrial Organization, Macroeconomics, Game Theory, Environmental economics

Compétences (37)

Catégories