Senior Data Quality Analyst

As a Senior Data Quality Analyst at cBEYONData, you will manage and mentor junior analysts, lead data quality initiatives, analyze and profile data for issues, and collaborate with various stakeholders to implement best practices and data governance policies. Your role will also involve ensuring regulatory compliance and identifying opportunities for automation in data quality processes.

To qualify for the Senior Data Quality Analyst position at cBEYONData, candidates must possess an active DoD Secret security clearance, a Bachelor's degree in a related field, and at least six years of relevant work experience. Strong analytical skills, excellent communication abilities, and expertise in data management tools such as Collibra are also essential.

At cBEYONData, professional growth for Senior Data Quality Analysts is encouraged through mentorship opportunities, participation in high-impact projects, and collaboration with subject matter experts. Continuous learning is supported, allowing analysts to adapt to industry changes and enhance their skill sets.

Senior Data Quality Analysts at cBEYONData will use various data management tools, with Collibra being a primary choice. Analysts will also work with data profiling and integration tools to monitor data quality and streamline workflows. Familiarity with Agile principles may also enhance project collaboration.

The work environment at cBEYONData for a Senior Data Quality Analyst is remote, providing flexibility while fostering collaboration across diverse teams. Analysts are expected to work dynamically, managing multiple projects while adapting to evolving priorities and maintaining a high standard of work.

When discussing your experience with data quality management, highlight specific projects where you led initiatives to enhance data accuracy and consistency. Mention any tools you utilized, such as Collibra, to profile and monitor data. Share outcomes, such as improved data integrity or streamlined processes.

Address this question by detailing a systematic approach you take when encountering data discrepancies. Explain how you investigate the issue, collaborate with relevant stakeholders, and implement standard operating procedures to resolve the issue while ensuring future accuracy.

In your response, discuss specific strategies you adopt for data compliance, such as establishing data governance policies, conducting regular audits, and collaborating with compliance teams. Illustrate your knowledge of applicable regulations and how you ensure that the data management processes align with these standards.

Share a concrete example of a time when you mentored junior analysts. Explain your approach to guiding them through their tasks, providing constructive feedback, and helping them develop their skills. Highlight any successful projects that resulted from their growth.

When addressing this question, outline the methods you use for task prioritization, such as the Eisenhower Matrix or scrum methodologies. Emphasize your ability to assess task urgency and importance, and how you communicate priorities to your team.

In your answer, provide an overview of your experience with data governance frameworks, detailing how you've implemented policies or practices that maintain data standards. Mention specific areas of focus, such as master data governance or data quality assessment.

Discuss the specific techniques you use for data profiling, such as statistical analysis, data visualization, and anomaly detection. Highlight the tools you are familiar with and how these techniques help you identify critical data quality issues.

When answering this question, describe a specific project, the challenges you faced with data quality or integration, and the strategies you implemented to overcome those difficulties. Focus on the impact and lessons learned from the experience.

Explain your methods for staying informed, such as attending workshops, webinars, and industry conferences. Mention relevant articles or resources you follow and how they influence your daily work practices.

Highlight the importance of communication in your role, especially when collaborating with diverse teams or stakeholders. Discuss how you facilitate clear communication channels, ensuring everyone is on the same page when addressing data quality issues or governance practices.