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Tiago M.TM

Tiago M.

Analytics Engineer | dbt

600 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Tiago

Je suis Analytics Engineer motivé, curieux et responsable avec +7 ans d’expérience dans la collecte, l’organisation, l’interprétation et la manipulation de différents types de données, pour fournir des solutions d'affaires réussies. Excellente compréhension des outils BI, des processus SQL et ETL.
  • Portugais

    Bilingue ou natif

  • Anglais

    Bilingue ou natif

  • Français

    Capacité professionnelle complète

  • Espagnol

    Capacité professionnelle limitée

  • Allemand

    Notions

En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • Payfit
    Analytics Engineer
    AGENCE & SSII
    mars 2022 - Aujourd'hui (4 ans et 3 mois)
    Paris, France

    Main Responsibilities

    • Create and manage dbt models, from staging to mart and deploy them in Looker as Explores for the end users.
    • Monitor Snowflake cost and performance and apply necessary actions to ensure we are below the budget.
    • Looker data governance - automate deletion of stale Looker dashboards and looks, manage Looker access.
    • Interact with stakeholders to define priorities and deadlines for their projects and tickets.
    Looker dbt Snowflake SQL Data Modeling
  • DIGITALinkers
    Data Analyst at Stellantis
    AUTOMOBILE
    avril 2021 - mars 2022 (11 mois)
    Paris, Île-de-France, France
    Responsible for the creation of reports in Power BI and Data Studio, as well as the maintenance of existing ones. The reports focus on the vehicle sales as well as the performance of the websites of each brand, by measuring the number of sessions and page views. BI tools: Power BI and Data Studio Databases: Google BigQuery
    BigQuery Microsoft Excel Microsoft Power BI Google Data Studio SQL
  • DIGITALinkers
    Data Analyst at CHANEL
    janvier 2021 - avril 2021 (3 mois)
    Paris, Ilha de França, França
    Assisted in the production of several reports for CHANEL ecommerce team. The reports consisted, in general, of several KPIs like the number of visits, purchases and average basket value of the different page categories. BI tools used: MS Power BI Data Sources: Google BigQuery

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Formations

  • Masters in Knowledge Management and Business Intelligence
    NOVA IMS Information management school
    2017
    Courses: - Data Mining - Business Intelligence (ETL implementation, SSIS, SSAS, SSRS and Power BI) - SEO - Database Management - Machine Learning
  • Bachelor’s Degree in Management Studies
    ISCTE - Instituto Universitário de Lisboa
    2013

Certifications

  • Tableau Desktop Specialist
    Tableau Software
    2020

Compétences

Catégories