Analyst II, Data Operations (R-18910)
Dun & Bradstreet Hyderabad, Telangana, India
Job Description
"Transform data into actionable insights and drive business growth as a Data Operations Analyst II at Dun & Bradstreet."
In this role, you will be part of a dynamic team that shapes the future of business decisioning data and analytics. As a Data Operations Analyst II, you will play a crucial part in improving our ability to monitor, measure, and maintain critical production processes for Global Contact Data.
With over 180 years of experience, Dun & Bradstreet is a global leader in business decisioning data and analytics. We help companies worldwide grow, manage risk, and innovate. Our diverse, global team values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what's next?
Why you should learn this:
The demand for skilled data operations professionals is high, with a projected growth rate of 14% by 2028.
Expected Salary: $85,000 - $115,000 per year, depending on experience and location.
How it works:
- Develop a deep understanding of our internal datasets and tools, including data quality, data governance, and data security.
- Collaborate with the Global People Data team to design, implement, and maintain data processes and workflows.
Core Concepts to Master
Data Quality and Governance
Understand data quality metrics, data validation rules, and data governance frameworks to ensure accurate and reliable data.
Data Security and Compliance
Learn about data security best practices, compliance regulations, and data encryption methods to protect sensitive information.
Data Visualization and Reporting
Develop skills in data visualization tools and reporting software to effectively communicate data insights to stakeholders.
Interview Questions (Beginner)
- Can you explain the importance of data quality and governance in data operations?
- How would you approach data security and compliance in a production environment?
- What data visualization tools have you used in the past, and how did you apply them?
Job Overview
Advance Questions
- • Design a data workflow to improve data processing efficiency and reduce errors.
- • Develop a data quality dashboard to monitor key metrics and alert stakeholders to potential issues.
- • Explain a data governance framework you've implemented in a previous role, and how it improved data accuracy and reliability.