Senior Data Operations Analyst (R-17727)

As a Senior Data Operations Analyst at Dun & Bradstreet, you'll be responsible for overseeing the entire operational management of our cloud data platform, focusing on data management and governance practices. You'll analyze data quality issues, collaborate with data vendors, and implement process improvements to ensure data accuracy and integrity. Additionally, you'll utilize tools like SQL and Power BI to create performance metrics and dashboards, while leading continuous improvement initiatives in data operations.

To qualify for the Senior Data Operations Analyst position at Dun & Bradstreet, candidates should possess a Bachelor’s Degree in Data Science, Information Systems, Computer Science, Mathematics, or a related field. Candidates should also have over five years of experience in data analysis or engineering, along with strong proficiency in SQL and Python. Familiarity with data structures such as XML and JSON, as well as advanced skills in data visualization tools like Power BI, are essential for this role.

Dun & Bradstreet emphasizes data quality by implementing robust management practices that are measured against KPIs. As a Senior Data Operations Analyst, you'll actively identify and analyze data quality issues, design effective reporting metrics, and maintain strong relationships with data vendors. Your role will encompass the entire data lifecycle to ensure completeness, accuracy, and conformity in all data management processes.

At Dun & Bradstreet, career growth is built into the fabric of our organization. As a Senior Data Operations Analyst, you'll have the opportunity to develop your skills further via our Educational Assistance Program, which supports ongoing professional development. Additionally, you will work alongside talented teams that foster innovation and collaboration, paving the way for potential promotions or transitions into leadership roles within the data and technology domains.

The work environment at Dun & Bradstreet is dynamic and collaborative, characterized by a flexible hybrid model that promotes work-life balance. You’ll be part of a diverse team that values input and creativity, allowing you to thrive and contribute to important data management initiatives. With a focus on continuous improvement, you'll find an atmosphere that encourages learning and sharing ideas among 6,000 friendly colleagues.

When addressing your experience, be sure to showcase specific projects where you successfully managed data operations. Highlight tools you used, processes you optimized, and KPIs you achieved. Discuss how you collaborated with stakeholders to improve data quality and integrity, providing concrete examples of how your analytical skills made a positive impact.

Think of a specific scenario and outline the steps you took to identify the issue, analyze its root cause, and implement a solution. Discuss the tools you used for detection and analysis and how your actions led to improved data quality standards. This answer should reflect your problem-solving abilities and your understanding of data governance principles.

Make a list of the relevant tools, starting with SQL and Python, then any data visualization tools like Power BI. Discuss how you have utilized these tools in your past work to analyze data trends and generate reports. Your proficiency with these technologies showcases your capability to meet the demands of the role at Dun & Bradstreet.

Explain your approach to organization and prioritization, such as using project management tools, maintaining an open line of communication with stakeholders, and being adaptable to shifting needs. Demonstrating your ability to manage competing demands effectively will show your potential to thrive in the fast-paced environment at Dun & Bradstreet.

Share your philosophy on continuous improvement, emphasizing the importance of analyzing existing processes and seeking feedback for optimization. Discuss specific strategies you've implemented to enhance data quality, streamline workflows, and drive efficiencies in previous roles. Highlight your proactive nature and how you inspire the team to embrace a growth mindset.

Use a particular instance where you worked closely with cross-functional teams to align data governance strategies. Discuss the communication methods you employed and how you ensured that everyone was on the same page regarding data quality standards. Highlight the outcomes and how your collaborative approach benefited the organization.

Detail your experience managing vendor relationships, focusing on how you assessed their performance, addressed issues, and ensured compliance with quality standards. Discuss any negotiation or contract management experience you have and how it contributed to favorable outcomes for your organization.

Be specific about the types of projects where you've employed SQL or Python for data extraction, transformation, and analysis. Mention any notable datasets you worked with and share the results achieved through your analytical efforts. This will demonstrate your technical capability essential for the role at Dun & Bradstreet.

Discuss dimensions such as accuracy, completeness, consistency, timeliness, and validity, and give examples of how you have measured these in your previous roles. Explain how a strong grasp of these dimensions contributes to effective data management and supports the goals at Dun & Bradstreet.

Share your strategies for staying informed about the latest advancements in data management, such as following industry leaders, participating in webinars, or enrolling in relevant courses. Show your commitment to continuous learning and how it will benefit your role as a Senior Data Operations Analyst at Dun & Bradstreet.