Data Operations Analyst (R-17440)

As a Data Operations Analyst at Dun & Bradstreet, you'll be responsible for checking the accuracy and consistency of vendor data, performing data profiling, and conducting QA testing on data feeds. Your role will also involve creating business requirements for data engineers and ensuring documentation compliance. Additionally, you'll report on the public data ingestion process to identify and fix issues while collaborating closely with the Vendor Relationship & Performance Manager.

To qualify for the Data Operations Analyst position at Dun & Bradstreet, you need a bachelor's degree and up to 2 years of relevant working experience. Strong SQL skills, experience with data visualization tools like Tableau and PowerBI, and a fundamental understanding of data cleansing techniques are essential. Proficiency in Microsoft Office Suite and an ability to communicate data insights to non-technical audiences are also important.

The Data Operations Analyst at Dun & Bradstreet plays a crucial role in ensuring data quality and integrity, which are vital for informed decision-making. By monitoring public data feeds and identifying issues, you help maintain a reliable information source for business logic creation. This ensures that the organization makes effective use of its data investments, ultimately contributing to smarter strategic decisions.

Dun & Bradstreet offers a dynamic and collaborative work culture for Data Operations Analysts. The company values curiosity and encourages innovative thinking. You'll find support and mentorship throughout your journey, allowing you to grow and develop your skills while working alongside diverse, experienced professionals dedicated to turning data into actionable insights.

As a Data Operations Analyst at Dun & Bradstreet, you'll primarily work with data analysis tools, advanced MS Excel, and SQL for data management. Familiarity with data visualization tools such as Tableau and PowerBI, along with SQL Server Reporting Services (SSRS), is also important for your responsibilities. You'll have the opportunity to interact with a variety of technologies as you work on data enhancement and reporting processes.

In response to this question, highlight specific instances where you conducted data quality checks or implemented measures to ensure data accuracy. Discuss the tools you used, the methodologies you applied, and the results of your efforts. Emphasize your attention to detail and problem-solving skills, which are crucial in the role of a Data Operations Analyst.

When answering this question, define your approach to data profiling, which may include understanding data sources, identifying patterns, and assessing data quality. Discuss tools you've used and how you documented your findings. Providing an example of a successful profiling project can showcase your analytical skills and practical knowledge, making you a strong candidate for the Data Operations Analyst role.

Use the STAR method (Situation, Task, Action, Result) to frame your response. Describe the specific data inconsistency, the steps you took to investigate the issue, and how you communicated with relevant teams to resolve it. Highlight your data analysis skills and how you ensured a thorough and effective resolution, showcasing your proactive approach in the Data Operations Analyst position.

Share your proficiency with SQL, mentioning specific queries you've written or complex data manipulations you've performed. Discuss your experience with data visualization tools like Tableau or PowerBI, detailing how you've used them to create reports or dashboards that convey insights. This will demonstrate your technical skill set relevant to the Data Operations Analyst role.

Discuss your organizational skills and any frameworks you use to prioritize tasks, perhaps even mentioning specific tools like Trello or Asana. Emphasize the importance of communication; coordinating with your team ensures everyone understands the priorities and is on board. By illustrating your ability to remain results-oriented even under pressure, you align with the values expected from a Data Operations Analyst at Dun & Bradstreet.

Highlight that documentation is essential for maintaining processes and ensuring compliance with internal and external standards. Explain how thorough documentation not only aids clarity for team members but also supports continuity, making it easier for new analysts to understand previous work. This awareness is critical for a Data Operations Analyst to succeed in their role.

Share your storytelling approach to data presentation. Talk about how you focus on key insights and tailor your language to the audience, using visuals and clear metrics to support your recommendations. This will demonstrate your ability to bridge the gap between data complexity and practical insight, a key skill for a Data Operations Analyst.

Discuss your continuous learning approach: reading industry blogs, attending webinars, or participating in professional communities. This shows your commitment to growth and helping improve the data practices at Dun & Bradstreet, which is crucial for a Data Operations Analyst.

Explain how a Data Operations Analyst is integral to vendor management by ensuring data accuracy from suppliers and facilitating constructive conversations about data quality. Your role aids in creating the necessary requirements for vendor data changes, ultimately leading to improved vendor relationships and better data practices. Positioning this thoughtfully reflects your understanding of the responsibilities tied to the role.

Communicate your passion for data and its potential to drive business decisions. Mention how Dun & Bradstreet’s emphasis on data integrity and its global reach resonates with your professional values. This tailored approach will show your sincerity and alignment with the role of a Data Operations Analyst at Dun & Bradstreet.