Analyst II, Data Operations (R-16177)
Hyderabad - India
Dun & Bradstreet
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 6,500+ 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.
A Data Operations Specialist’s role involves mastering and improving manual processes. The Data Operations Specialist will be expected to process all opt-out requests and research requests. The Data Operations Specialist will be expected to reset and resume data workflows and other tasks as requested. The Data Operations Specialist will have to both be able to work with the Global People Data team’s internal datasets and tools, as well as be able to coordinate with outside groups to continuously meet their needs.
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A Data Operations Specialist’s role involves mastering and improving manual processes. The Data Operations Specialist will be expected to process all opt-out requests and research requests. The Data Operations Specialist will be expected to reset and resume data workflows and other tasks as requested. The Data Operations Specialist will have to both be able to work with the Global People Data team’s internal datasets and tools, as well as be able to coordinate with outside groups to continuously meet their needs.
Responsibilities:
- Timely processing of opt-out requests and research requests within SLA.
- Monitor and maintain processing of existing data supply chain workflows and data feeds.
- Improve efficiency of manual tasks by updating scripts and ticketing automation opportunities.
- Work closely with related groups to ensure business continuity.
- Perform analysis on large datasets to review fill rates, data quality and data consistency.
- Work as a member of one or more agile teams, using lean principles and SCRUM methodology.
Requirements:
- Bachelor’s degree (preferable in computer science or a related field)
- Experience with SQL (1-3 years)
- Experience with Python (1-3 years)
- Ability to work closely with others to problem solve
- Experience in operations work
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Computer Science DataOps Data quality Privacy Python R Research Scrum SQL
Region:
Asia/Pacific
Country:
India
Job stats:
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Categories:
Analyst Jobs
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