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Location: Hyderabad - India
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. Since 1841, 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.
Dun & Bradstreet is seeking a highly motivated and results-driven Project Manager to lead strategic automation, AI, process improvement, and operational excellence initiatives within Research Operations and Automation. This role will partner closely with Product Management, Engineering, Research Operations, Analytics, and senior business leaders to identify opportunities, drive innovation, and deliver scalable solutions that improve operational efficiency, quality, and customer outcomes.
The ideal candidate combines strong program management expertise, analytical problem-solving skills, business process transformation experience, and the ability to influence cross-functional teams in a fast-paced environment.Key Responsibilities:
key Skills:
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.
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Most Project Management Jobs posts in Hyderabad ask for 6–10 years of experience (35% of 20 that say).
From live job posts on CoreHRx, updated 5 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post asks for 4 Yrs experience.
In Hyderabad (hybrid).
It is a full time job.
Interview preparation · 60 questions
This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.
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