The intern will perform data analysis, summarize findings with visualization tools, build proof-of-concepts, and support projects using large datasets and ETL techniques.
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.
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Top Skills
AWS
Azure
Databricks
GCP
Excel
Pyspark
Python
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