TL;DR

Data Analyst: Ensuring the reliability and consistency of cargo models by monitoring model performance, validating outputs, identifying data quality issues, and driving continuous improvements. Focus on rigorous analysis and close collaboration with stakeholders to meet the highest standards of accuracy and usability for clients.

Location: Hybrid

Company

%hirify_global% is dedicated to helping clients navigate complex markets with ease by simplifying global trade information and providing valuable insights in commodities, energy, and maritime sectors.

What you will do

Implement and maintain quantitative and qualitative data quality metrics.
Design and maintain dashboards, reports, and automated checks to track data quality trends using Python, SQL, Streamlit, and Dataiku.
Detect and alert on anomalies, inconsistencies, and unexpected behavioral patterns in model outputs and underlying data.
Perform root-cause analysis on data quality issues.
Support the continuous improvement of Cargo Models by providing structured feedback.
Collaborate with crew members and all stakeholders to share insights and participate in model evaluation phases.

Requirements

3 years+ experience 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.
Experience designing and implementing data quality metrics and automated monitoring pipelines.
Familiar with logging frameworks, BI tools, and data visualization platforms.

Nice to have

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.

Culture & Benefits

Dynamic company dedicated to nurturing connections and innovating solutions.
Act decisively and with purpose, going the extra mile.
Foster relationships and develop creative solutions to address market challenges.
Accessible and supportive to colleagues and clients with a friendly approach.
Committed to providing a fair, inclusive, and diverse work environment.