Senior Analyst - AI Engineer (R-19628)

Shape the Future with Dun & Bradstreet

At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.

key Responsibilities

Build & support automation requirement & opportunities across analytics programs

Build Power BI dashboards, semantic models, KPI scorecards, executive reports

Partner with BU stakeholders to identify AI use cases and deliver intelligent knowledge discovery capabilities.

Design and develop monitoring and QA automation solutions to streamline processes, reduce manual effort, and improve operational efficiency.

Work with stakeholders in providing additional analysis based on specific needs

Support and contribute to various GenAI initiatives across the organization.

Research and stay UpToDate with the latest advancements in generative AI technologies, models, and frameworks.

Key Skills

Minimum 7 years of hands-on experience in Data Analysis, Automation, Cloud-native development.

Proven track record of delivering cloud native solution and automations in production environments.

Ability to interpret complex data and translate it into meaningful business insights and recommendations.

Strong programming expertise in Python, PySpark, Databricks, BigQuery/Redshift, and SQL for large-scale data processing, analytics, and reporting solutions.

Deep understanding of Python libraries such as NumPy, Pandas, Matplotlib etc.

Understanding of GenAI applications. Good to have experience in Retrieval-Augmented Generation (RAG)

Experience designing and building APIs and services using frameworks like FastAPI/Flask.

Good to have understanding of MLOps principles, including model versioning, automated evaluation, and CI/CD process.

Excellent verbal, written communication and presentation skills