Creative à France

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.

Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.

Kpler's historical and core product is Cargo Tracking. By combining vessel positions with a wide range of proprietary and external data sources, we deliver best-in-class cargo intelligence to the market, including port calls, trades, quantities, products, and more.

The Cargo Models team is responsible for building and operating highly accurate cargo tracking and forecasting models that power Kpler’s live trade intelligence for the global commodity markets. The team owns the quality of these outputs, making it a critical pillar of Kpler’s value proposition.

The Data Analyst plays a critical role in ensuring the reliability and consistency of Kpler’s cargo models. Acting as a key enabler for the team, the role focuses on monitoring model performance, validating outputs, identifying data quality issues, and driving continuous improvements. Through rigorous analysis and close collaboration with the crew, the Data Analyst helps ensure that Kpler’s cargo intelligence meets the highest standards of accuracy and usability for clients.

• Implement and maintain quantitative (counts, frequency, latency) and qualitative (accuracy, completeness, stability) data quality metrics.
• Design and maintain dashboards, reports, and automated checks to track data quality trends over time using Python, SQL, Streamlit, Dataiku, and related frameworks.
• Detect and alert on anomalies, inconsistencies, and unexpected behavioural patterns in model outputs and underlying data.
• Perform root-cause analysis on data quality issues, distinguishing between data, model, and process-related causes.
• Support the continuous improvement of Cargo Models by providing structured feedback based on observed quality gaps.
• Collaborate with crew members and all stakeholders to share insights and participate in the model evaluation phases.
• Document data quality processes, metrics definitions, and known limitations for internal and external stakeholders.

• 3 years+ exp in data analysis, data quality, analytics or data science roles.
• Proven experience working with large, complex datasets and analytical pipelines.
• Experience evaluating or monitoring model outputs in production.
• Strong experience using SQL and Python for data analysis, validation, and troubleshooting.
• Designed and implemented data quality metrics and automated monitoring pipelines.
• Familiar with logging frameworks, BI tools, and data visualization platforms.
• Solid understanding of evaluation metrics to assess data and model performance.
• Bilingual or fluent in English.

• Knowledge of commodities, maritime, logistics or energy market.
• Experience in a data-driven SaaS or intelligence company.
• Exposure to forecasting, classification, or anomaly detection models.

We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head‑on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us?

We make things happen

We act decisively and with purpose, going the extra mile.

We build together

We foster relationships and develop creative solutions to address market challenges.

We are here to help

We are accessible and supportive to colleagues and clients with a friendly approach.

Our People Pledge

Don’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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