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Data Analyst - Vessel Particulars & Companies Team Leader

​​At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform.Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries.Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide.Your future positionKpler is looking for an experienced Data Analyst to lead the Vessel Particulars & Companies team within our Data Assets team at Kpler, ensuring effective operations and alignment with overall team objectives. This role offers an exciting opportunity to lead and develop within a dynamic team focused on vessel particulars, company data, and innovative data solutions.

Your mission is to:

  • Define and monitor team goals, supervise activities, and maintain focus on priorities.
  • Serve as the subject matter expert on Vessel Particulars & Companies business logic/rules/datasets.
  • Identify and integrate new datasets into our databases.
  • Develop and test business logic, create dashboards and curate datasets.
  • Allocate resources, support team members, and identify training needs.
  • Implement automation strategies, integrate new data sources, and maintain related platforms.
  • Collaborate with tech stakeholders for infrastructure needs and support commercial teams with data insights.
  • Enhance proprietary data quality and keep the team aligned with company objectives.
  • Manage KPIs and OKRs, provide insights for improvement, and support product development.
  • It will be a match if you are or have:

  • Analytical mindset with problem-solving skills.
  • Proficiency in SQL and Python; familiarity with visualisation tools (, Tableau, Looker).
  • Experience with ETL processes and web scraping languages.
  • Understanding of statistics, analytics, and data processing techniques.
  • Excellent communication and collaboration skills.
  • Knowledge of modern database and information system technologies.
  • Desired

  • Project management experience.
  • Understanding of the Maritime Industry and SaaS.
  • We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us?we make things happenWe act decisively and with purpose, and we like to go the extra mile.we build
togetherWe foster relationships and develop creative solutions to address market challenges with cool features and solutions.hey, how can i help you today?Being accessible and supportive to colleagues and clients with a friendly approach is essential.Our People PledgeDon’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

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    Data Analyst - Vessel Particulars & Companies Team Leader

    Entreprise:
    Kpler
    Ville:
    Paris
    Type de contrat: 
    CDI, Temps plein
    Catégories: 
    Data Analyst, Chef d'Equipe
    Publiée:
    29.05.2024
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