Data Analyst (Ref: 389)

We are recruiting a Data Analyst focused on Data Quality

Are you passionate about data and want to play a key role in the continuous improvement of its quality in a demanding and structured environment? Join a leading organization and directly contribute to operational performance through advanced data mastery.

🎯 Your main missions

As a Data Analyst / Data Quality Officer, you will be at the heart of data governance issues:

• Drive and coordinate the implementation of data quality standards: definition of critical data, controls, indicators, alert thresholds, and escalation processes

• Deploy and monitor monitoring dashboards to measure and improve data quality

• Collaborate with business and experts to identify root causes of anomalies and provide sustainable solutions

• Ensure reliability, integrity, and standardization of databases

• Implement data management standards and best practices

• Support change through training, documentation, and dissemination of management rules

• Evaluate and enhance the ROI of data quality actions

🔎 Your impact

You will contribute to:

1. Analysis of impacts of poor data quality on business processes (bottom-up and top-down approaches)

2. Definition of quality rules and acceptance thresholds

3. Implementation of data validation standards and processes

4. Management of data remediation, normalization, and enrichment actions

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👤 Your profile

• 🎓 Master's degree in data, economics, mathematics, or equivalent

• 💼 Minimum 5 years of experience in banking or similar environment

• 📊 Expertise in analysis, data quality, monitoring, and dashboarding

• 🛠️ Proficiency in Data Quality tools and methodologies

• 🌍 Fluent in French, intermediate English

💡 Your strengths

• Analytical mindset and critical thinking

• Rigor and organization

• Ability to collaborate and communicate

• Solution-oriented & innovative

• Resilience and adaptability

🌟 Why join this opportunity?

• Stimulating and structured environment

• High-impact strategic data projects

• Close collaboration with business and data experts

• Culture of continuous improvement