Senior Analyst - AI Engineer (R-19628)

This role involves working as a senior data engineer focused on AI, likely building and maintaining data pipelines and AI infrastructure for the company's customer experience platform. The position is part of the engineering team and requires expertise in data engineering and AI technologies.

This role designs, builds, and maintains scalable data pipelines and ETL processes to support Dynata's data products. The Senior Data Engineer will work on optimizing data infrastructure for performance and reliability, collaborating with data scientists and analysts.

This role involves analyzing complex datasets to derive actionable insights for business decisions. The analyst will build reports, dashboards, and perform statistical analysis to support various departments. Proficiency in SQL and data visualization tools is required.

This Senior Data Scientist role focuses on developing advanced analytics models and machine learning solutions to drive business insights. The position requires expertise in statistical analysis, predictive modeling, and data visualization to support strategic decision-making.

This role owns data ownership and stewardship processes, ensuring data accuracy, lineage, and governance across Dun & Bradstreet's datasets. The analyst analyzes data ownership structures and implements best practices for data management.

This role manages and scales enterprise Voice of the Customer (VoC) programs to support customer experience transformation. The program manager designs and optimizes feedback programs, applying best practices in survey methodology, governance, data quality, and reporting, and integrates insights across Product, Sales, Operations, and Technology teams.

Develops and maintains software applications using Java within Dun & Bradstreet's data and analytics platforms. Works on backend systems and contributes to core product development.