📍 Location: Remote
💡 Are you passionate about data integrity and AI-driven insights? Join our dynamic startup, where we leverage AI to help financial institutions assess financial crime risk. Your role as a Data Quality Analyst will be crucial in ensuring accuracy and reliability in our massive real-time datasets.
✅ What You’ll Do:
- Validate and analyze large datasets for accuracy, consistency, and completeness.
- Develop and execute manual and automated data quality checks.
- Identify, document, and track data anomalies.
- Collaborate with engineers to debug and resolve data integrity issues.
- Define and monitor key data quality metrics to enhance our AI-driven platform.
- Continuously improve data pipelines to ensure high reliability.
🎯 What We’re Looking For:
- 2+ years of experience in data quality analysis, validation, or related fields.
- Strong analytical skills with the ability to detect patterns, inconsistencies, and anomalies in large datasets.
- Bonus: Experience with AI/ML-based products or data quality tools like Great Expectations, dbt tests.
🚀 Why Join Us?
- Be part of a fast-paced AI startup at the forefront of financial technology.
- Remote-friendly with flexible working hours.
- Have a direct impact on product quality and business success.
If ensuring high-quality data excites you, apply now and be part of our innovative journey!
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