R-19689 (Intern)

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. For over 180 years, 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.

Designation: Intern

Location: Mumbai

Function: Data & Ratings

SBU: Operations

Tenure: 3 months

Key Responsibilities

• Manage end-to-end client engagements, including data extraction, analysis, insight generation, deliverable preparation, and client communication.
• Design and implement data analytics solutions using business firmographics, financial data, market intelligence, and other relevant datasets.
• Process, transform, and analyze large volumes of structured and unstructured data using advanced analytical tools and technologies to deliver high-quality outcomes.
• Develop actionable insights, reports, dashboards, and visualizations that support strategic business decision-making.
• Collaborate with cross-functional teams to understand business requirements, ensure timely project delivery, and maintain high standards of quality and accuracy.

Key Requirements

• Exposure to data engineering concepts and best practices, including data architecture, data management, data governance, and data quality frameworks.
• Prior internship or project experience is preferred.
• Strong technical proficiency in SQL, Python, and advanced spreadsheet tools, along with hands-on experience in Power BI, Databricks, PySpark, and AI/ML technologies.
• Familiarity with data processing, analytics, visualization, and reporting tools to support business intelligence and decision-making initiatives.
• Excellent verbal and written communication skills in English, with the ability to effectively collaborate and engage with global stakeholders and cross-functional teams.