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Alexandre EngasserAE

Alexandre Engasser

Revenue Operations / Sales Operations

800 €/jour
1 projet
Madrid, ES
8-15 ans

Délai de réponse moyen : 1h

À propos de Alexandre

I lead end to end business performance projects implementation (cross department analytics and dashboards, revenue operations tools and processes, CRM implementation, etc.), from assessment and scope definition to technical implementation and long term operationalisation. I am used to work with a wide range of stakeholders from C-level executives to data analysts and engineers throughout the phases and specificities of each projects.

I thrive in fast growing and complex environments, where I can put my cross-functional, management, analytical and hands-on experience into action.

I am genuinely curious about industries and business challenges and I would be eager to know more about current context and work hand in hand with your teams to implement what makes sense to drive your performance forward !
  • Français

    Bilingue ou natif

  • Anglais

    Bilingue ou natif

  • Espagnol

    Bilingue ou natif

Accepte de travailler sur site
Madrid (jusqu’à 50 km)

Expériences

  • Ornikar
    Sales Strategy and Operations
    E-COMMERCE
    avril 2024 - octobre 2024 (6 mois)
    Paris, France
    Defined strategy and objectives for an externalized salesforce business unit, aimed at boosting onsite conversion rates and overall sales.
    Launched and grew day to day operations of the newly created business unit, from hypothesis testing phase to sustainable growth pillar.
    Sales Operations Stratégie commerciale Analyse de données Business plan Business model
  • Multis
    Business Operations
    BANQUE & ASSURANCES
    juin 2022 - octobre 2023 (1 an et 5 mois)
    Paris, France
    Multis is an all-in-one application to help web3 organizations manage their crypto finances. multis.co
  • sennder
    sennder - Head of Business Data & Analytics Products
    LOGISTIQUE & SUPPLY CHAIN
    juillet 2020 - juin 2022 (1 an et 11 mois)
    Paris, France
    Leading a cross functional team of 30 (product management, data engineering, machine learning engineering, data analysis). Building roadmap to achieve ambitious business goals (growth, profitability, sustainable processes) through highly data driven applications and decision making processes.

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Formations

  • Master of Science
    ESSEC Business School Paris
    2011
    Master of Science (MSc), Business Administration and Management, General

Compétences

Catégories