Data Analyst (R - 16846)

Why We Work at Dun & BradstreetDun & 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: Data AnalystLocation: Turbhe, Navi Mumbai

Key Responsibilities

• Responsible for client deliveries covering data extraction and analysis, deliverable preparation, and client interaction.
• Conceptualize and implement data and Analytics solutions in B2B Master Data Management space using business firmographics, financials, and other related data fields.
• Ability to process and handle large data sets using multiple tools and technologies and prepare a high-quality deliverable.

Skill Sets

• Associate should have experience on data engineering processes including data architectures, data management and data quality.
• Preferred work experience of 3 – 5 years as Business Analyst, Data Analyst, or any other relevant field.
• Demonstrate strong domain knowledge on end-to-end Master Data Management (MDM)s processes.
• Technical skills should include SQL, Python, Spreadsheets and Business Intelligence Tools like Power BI.
• Should possess excellent business communication skills in English and be able to work with global counterparts.

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.