Data Analyst

Data Analyst

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 Kplers live trade intelligence for the global commodity markets. The team owns the quality of these outputs, making it a critical pillar of Kplers value proposition.

The Data Analyst plays a critical role in ensuring the reliability and consistency of Kplers 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 Kplers cargo intelligence meets the highest standards of accuracy and usability for clients.

Key Responsibilities (Heres what you will do AND learn to be successful in this role)

• 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.

Skills and Experience

Nice to have

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 youve 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 buildtogether 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

Dont meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they dont match 100% of the job requirements. Dont let the confidence gap stand in your way, wed 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.

By applying, I confirm that I have read and accept the Staff Privacy Notice

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