Data Operation & Support Specialist/ Analyst/ Senior Analyst

The primary responsibilities of a Data Operation & Support Specialist at our company involve providing timely technical support during operational hours, implementing data strategy for enterprise data management, and managing production data processes. You'll also monitor, troubleshoot, and document data issues while ensuring compliance with corporate policies and data protection laws, making it a critical role for business continuity.

To qualify for the Data Operation & Support Specialist role at our company, a bachelor’s degree in computer science or a related field is preferred, with a master’s degree or relevant certifications being an advantage. Candidates should also have strong technical skills in data operations, experience with DWH, and proficiency in Unix/Linux systems and SQL languages.

The Data Operation & Support Specialist contributes to business continuity by ensuring the stability and performance of data systems. This includes implementing data backup and restore processes, monitoring data transactions, and proactively resolving issues. By maintaining a healthy environment for data solutions, the specialist helps prevent operational disruptions and supports seamless business operations.

Essential tools and technologies for a Data Operation & Support Specialist at our company include database management systems, data accessibility tools, and administration tools for troubleshooting. Familiarity with Unix/Linux operating systems and proficiency in oracle SQL and PL-SQL are also crucial for effectively managing and supporting data operations.

Successful Data Operation & Support Specialists will possess strong analytical and problem-solving skills, as well as excellent technical abilities. The ability to collaborate with other data functions and adapt to changing situations will be essential. Additionally, performance excellence and a people-centric approach will greatly enhance your effectiveness in this role.

When answering this question, focus on specific projects you’ve worked on that demonstrate your experience in data operations. Highlight your role in implementing data management functions, troubleshooting data issues, and ensuring compliance with regulations. Provide quantifiable results or improvements achieved through your efforts.

Discuss the tools and techniques you utilize for monitoring data performance, such as performance metrics, logging, and administrative tools. Emphasize your proactive approach to identifying and resolving issues before they escalate, ensuring system uptime and stability.

Explain your systematic approach to troubleshooting, which might include gathering logs, analyzing data issues, and collaborating with other teams to find root causes. Provide an example of a troubleshooting experience where you successfully resolved a complex data problem.

Share your hands-on experiences with implementing data backup and restoration processes. Discuss specific technologies you’ve used, your understanding of best practices, and how you’ve ensured data integrity and availability during these processes.

Talk about your knowledge of data protection regulations, such as GDPR or CCPA, and how you adhere to them. Provide examples of how you’ve ensured compliance in previous roles, such as through proper documentation, audits, and implementing necessary controls.

Reflect on specific challenges you encountered, such as downtime or data discrepancies, and explain the strategies you employed to overcome these challenges. Highlight your problem-solving skills and ability to adapt to unforeseen circumstances.

Discuss your prioritization strategies, such as assessing the impact and urgency of each request. Share an instance where your task management skills led to successful resolution of multiple requests without compromising service quality.

Explain your understanding of the data lifecycle, which includes data creation, storage, usage, archiving, and deletion. Mention how you apply this knowledge in your role to ensure data availability and compliance throughout the lifecycle.

Share your methods for keeping up with industry trends, such as attending webinars, reading relevant publications, and networking with industry professionals. This shows your commitment to continuous learning and adapting to evolving technologies.

Highlight the importance of collaboration in data operations by discussing your experiences working with cross-functional teams. Talk about how effective communication and synergy enhance overall efficiency and output in data management processes.