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Katell RuetKR

Katell Ruet

Data Analyst | Business & Optimization Analysis

€250/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Katell

I am a Data Analyst specializing in business and operational data analysis, with a field-oriented and decision-making approach.

I help companies leverage their data to improve performance, structure processes, and develop practical tools.

What I can offer:

  • Data analysis and structuring (Excel, SQL)
  • Creation of automated dashboards and reports
  • Performance analysis (operations, sales, usage)
  • Process optimization and identification of improvement levers
  • Development of data tools and simple web applications for data centralization and exploitation

Technical skills:

  • Advanced Excel (automation, VBA)
  • SQL
  • JavaScript / TypeScript
  • Next.js (web application development)
  • Database management (MongoDB)

Experience:

Mouratoglou Academy
Data & Business Analyst
  • Analysis of data related to international development (academies, sports hospitality projects)
  • Market studies and support for strategic decision-making
  • Structuring business data and reporting

International Sports Events (ATP Challenger / WTA)
  • Operational data analysis (logistics, flows, player services)
  • Process optimization (transport, planning, organization)
  • Operational steering for over 15 tournaments
  • Development of a web application for tournaments
  • Design and development of an application centralizing player information (planning, services, transport)
  • Connection to a database and data structuring
  • Improvement of user experience and field operations
My approach:

I combine data analysis and operational understanding to provide concrete and directly applicable recommendations.
  • 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-and-competitive-intelligence
  • 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 Budget Management 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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