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Katell RuetKR

Katell Ruet

Data Analyst | Analyse business & optimisation

€250/day
Paris, FR
0-2 years

Average response time: 1 hour

About Katell

Je suis Data Analyst spécialisée dans l’analyse de données business et opérationnelles, avec une approche orientée terrain et prise de décision.

J’accompagne les entreprises dans l’exploitation de leurs données pour améliorer leur performance, structurer leurs processus et développer des outils concrets.

Ce que je peux vous apporter :

  • Analyse et structuration de données (Excel, SQL)
  • Création de dashboards et reportings automatisés
  • Analyse de performance (opérations, ventes, usage)
  • Optimisation de processus et identification de leviers d’amélioration
  • Développement d’outils data et applications web simples pour centraliser et exploiter les données

Compétences techniques :

  • Excel avancé (automatisation, VBA)
  • SQL
  • JavaScript / TypeScript
  • Next.js (développement d’applications web)
  • Gestion de bases de données (MongoDB)

Expérience :

Mouratoglou Academy
Data & Business Analyst
  • Analyse de données liées au développement international (académies, projets hôteliers sportifs)
  • Études de marché et aide à la prise de décision stratégique
  • Structuration de données business et reporting

Événements sportifs internationaux (ATP Challenger / WTA)
  • Analyse de données opérationnelles (logistique, flux, services joueurs)
  • Optimisation des processus (transport, planning, organisation)
  • Pilotage opérationnel sur plus de 15 tournois
  • Développement d’une application web pour tournois
  • Conception et développement d’une application centralisant les informations joueurs (planning, services, transports)
  • Connexion à une base de données et structuration des informations
  • Amélioration de l’expérience utilisateur et des opérations terrain
Mon approche :

Je combine analyse de données et compréhension opérationnelle pour proposer des recommandations concrètes et directement applicables.
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Fluent

  • Italian

    Basic

Can work on-site
Paris (up to 50km)

Experience

  • Mouratoglou Academy
    Strategy & Data Analyst (International Development)
    January 2021 - January 2022 (1 year)
    Biot, France
    • • Built a predictive algorithm identifying high-potential investor clients, analysing thousands of entries; shortlisted 10 leads, with 1 turning into an actual investor.
    • • Reduced analysis time significantly by automating workflows and building models to forecast performance and behaviour.
    • • Analysed massive datasets (revenue streams, customer activity, hospitality data) to identify strategic opportunities; reduced a list of 350+ hotel candidates to 10 priority targets, several of which were pursued.
    • • Developed dashboards for Instagram, trampoline parks and other business units, improving insight quality and decision making speed.
    • • Conducted market studies for business expansion (Dubai padel market, Malaysia academies, Africa tennis market, US/Australia hospitality opportunities), producing actionable recommendations and business plans.
    Python React.js Algorithms and Data Structures Benchmark
  • Auto entreprise
    Tournament Direction - ATP & WTA Tournaments
    January 2023 - January 2025 (2 years)
    • • Designed and developed a mobile application used on 15 tournaments (≈100 users/tournament), automating court reservations and centralising information; significantly increased player satisfaction and reduced desk workload.
    • • Automated key processes (contracts, invitation letters), reducing time per task from 40 minutes to 10 minutes, improving standardisation and reducing human error.
    • • Built internal data systems: supplier/partner databases, stock management tools, task management protocols, enabling better forecasting and year-on-year optimisation.
    • • Conducted financial analysis across tournaments, identifying areas to optimise and offering recommendations on suppliers to improve future budgets.
    • • Analysed operational flows (e.g., ball usage, materials), reducing costs and adjusting resource allocation for future events.
    • • Led cross-functional teams and collaborated with ministries, federations and agencies to deliver international events under high-pressure constraints.
    VBA Gestion budgétaire Python Feature Definition
  • French Tennis Federation
    Data Collection & Process Improvement
    January 2019 - January 2023 (4 years)
    • • Collected and entered match/event data with high accuracy.
    • • Contributed to process improvements for more efficient data capture in live environments.

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Education

  • Master's degree in Management
    ESSEC Business School
    2023
    Master's degree in Management
  • Bachelor's degree in Mathematics & Applied Economics
    Paris Dauphine University
    2020
    Bachelor's degree in Mathematics & Applied Economics

Skill set

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