Assistant Manager - Data Operations

Mumbai - India

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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: Assistant Manager - Data OperationsPayroll: Partner's PayrollDuration: 6 MonthsLocation: 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

Key Requirements

  • Associate should have experience on data engineering processes including data architectures, data management and data qualities
  • 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.
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Tags: Architecture Business Intelligence Data management DataOps Engineering Power BI Privacy Python SQL

Region: Asia/Pacific
Country: India

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