🛠 Tech Stack

💼 About This Role

You'll execute a comprehensive data quality monitoring strategy for Dun & Bradstreet's inventory data using advanced analytics and automation. You'll drive insights through PowerBI/Looker dashboards and collaborate with a global team to ensure data integrity.

🎯 What You'll Do

• Execute data quality monitoring strategy aligning with standards
• Analyze data to proactively identify quality issues
• Design and administer PowerBI/Looker dashboards
• Implement automated validation framework and processes

📋 Requirements

• 8+ years of experience in data analysis
• SQL proficiency (preferably BigQuery)
• Python proficiency
• Experience with GCP and Airflow

✨ Nice to Have

• Experience with AI tools like Copilot Studio or Gemini Code Assist
• Knowledge of machine learning anomaly detection
• Experience developing agents or agentic systems

🎁 Benefits & Perks

• 🏖️ Flexible hybrid work
• 💼 Global team collaboration
• 📈 Mentorship opportunities
• 🏢 Career growth at a global leader

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min