Intern - Data Analysis

Job Description

Why We Work at Dun & Bradstreet Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers. Designation - Intern - Data Analysis Duration - 12 months Location - Turbhe, Navi Mumbai Key Responsibilities: Perform data analysis, identify data anomalies, and summarize data using modern data visualization tools Build proof-of-concepts and fulfill customer analysis requirements using D&B data, analytics functions, and other partner or external data sources Support customer delivery throughout the project lifecycle, from initiation to successful closure Work with large datasets using data processing platforms, apply ETL techniques, and adhere to data management principles Key Requirements: B.E/B.Tech graduate or any relevant graduate degree in a technical field Should have a technical background in data analysis and data science, along with business analysis skills Technical skills should include Python and PySpark, with added advantage if experienced or trained on the Databricks platform Basic proficiency in Microsoft Excel Preferred knowledge of cloud platforms such as AWS, GCP, or Azure Excellent business communication skills All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com. Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.