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Analyst - Operations ( R-19738) en Dnb

Dnb · Mumbai - India, Indien · On-site

Python

Microsoft Excel

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Description

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.

Location: Turbhe, Navi Mumbai
Business Unit: Data & Ratings
Function: Operations

Key Responsibilities:

  • Support MBR (Monthly Business Review) activities, including data validation and reconciliation
  • Review and verify records by comparing multiple data sources and updating remarks
  • Assist in preparation and consolidation of MBR reports and dashboards
  • Utilize Advanced Excel for data analysis, cleaning, and handling large datasets
  • Apply basic Python knowledge for data processing and automation tasks (preferred)
  • Ensure data accuracy, consistency, and quality across systems and MIS
  • Adhere to defined processes, timelines, and SLA requirements while highlighting discrepancies proactively

    • Key Requirements:

  • CA Inter or MBA in Finance with 2–3 years of experience in financial analysis, risk evaluation, and industry benchmarking
  • Skilled in financial forecasting, modeling, and product development initiatives

    • Additional Information

    All Dun & Bradstreet job postings can be found at 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, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.
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