About Us
Coface is a team of 4,500 people of 78 nationalities across nearly 60 countries, all sharing a corporate culture across the world. Together, we work towards one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses.
With 75 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services.
As a close-knit, international organization at the core of the global economy, Coface offers an enriching work experience on several levels: relational, professional, and cultural.
Every day, our teams are making trade happen. Join us!

About the Role:
We are seeking a Data Analyst to assess and ensure the quality of data from information providers using a statistical approach. The ideal candidate will apply statistical techniques, conduct data validation, and provide insights to improve data accuracy, completeness, and consistency.

Key Responsibilities:

• Assess the quality, reliability, and accuracy of data from multiple information providers using statistical analysis.
• Develop and apply data quality metrics to detect inconsistencies, missing values, and anomalies.
• Use statistical models and methodologies (e.g., hypothesis testing, regression analysis) to evaluate data patterns.
• Work closely with data providers to improve data collection processes and ensure compliance with quality standards.
• Create automated data validation and monitoring processes to track changes over time.
• Generate reports and dashboards to communicate data quality findings and trends.
• Collaborate with cross-functional teams to support data-driven decision-making.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Statistics, Data Science, Mathematics, or a related field.
• Strong understanding of statistical methods and data analysis techniques.
• Proficiency in data analytics tools such as SQL, Python, R, or SAS.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Ability to identify and resolve data quality issues efficiently.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to translate statistical findings into actionable insights.

Preferred Qualifications:

• Experience working with large datasets and data pipelines.
• Knowledge of data governance and best practices for data quality management.
• Familiarity with industry standards for data quality assessment.
  
  

Why Join Us?

• Opportunity to work with high-impact data in a fast-paced environment.
• Exposure to cutting-edge statistical techniques for data quality assessment.
• Collaborative and supportive team culture.

If you are passionate about data quality and statistical analysis, we encourage you to apply!