Data Audit Specialist

As a Data Audit Specialist, you will be responsible for auditing data management systems, examining data processing solutions, and validating reporting/analytics applications. Your role will involve writing Python code audits and reviewing SQL statements to ensure accuracy in data processing. You will also conduct thorough evaluations of Data Base Management Systems (DBMS) and audit reporting solutions like Alteryx while maintaining stringent data access control and lineage tracking.

To qualify for the Data Audit Specialist position, you should have a minimum of 5 years of experience in auditing data and reporting systems. Familiarity with consent order validation is preferred. Strong communication skills are essential, particularly for drafting audit documentation that meets bank standards. A solid foundation in technologies like Python and Alteryx, as well as SQL proficiency, will significantly enhance your application.

Essential skills for a Data Audit Specialist include proficiency in auditing data management systems and data processing systems, particularly using Python and SQL. Strong analytical capabilities and attention to detail are crucial for uncovering discrepancies and ensuring compliance. Additionally, excellent written and verbal communication skills are vital for articulating findings in audit reports that align with banking standards.

A Data Audit Specialist should be familiar with a variety of tools and technologies including Python for coding audits, SQL for data processing validation, and Alteryx for reporting and analytics. Knowledge of Data Base Management Systems (DBMS) is also important. Being a subject matter expert in these areas will help you effectively assess the data management practices employed by our bank.

Absolutely! As a Data Audit Specialist, you will have tremendous opportunities for career growth within the company. With a focus on data compliance and audits, you can expand your expertise into broader areas such as risk management or data governance. We value continuous learning and development, and there may be pathways to managerial roles or specialized auditing positions as you prove your capabilities.

To answer this question effectively, share specific instances where you've conducted audits on data management systems. Highlight the tools you used, the challenges you faced, and how you ensured compliance with regulatory standards. Focus on your analytical skills and attention to detail, emphasizing the impact your audits had on improving processes.

When asked about SQL auditing, you should discuss your methodology for reviewing SQL code. Talk about how you verify data transformations and assess the logic used in the statements. Mention any tools you utilize and how you document your findings to provide clear feedback for improvements.

In your response, discuss any direct experience you have with consent order validation. Provide examples of how you've navigated compliance requirements, your role in remediation efforts, and how your work ensured alignment with regulatory expectations. Highlight your understanding of related processes and regulations.

A good approach to this question involves discussing your organizational skills and prioritization strategies. Mention tools or methodologies you use to keep track of various projects, your time management skills, and how you effectively communicate updates and challenges to your team.

In answering this, focus on clarity, accuracy, and organization. Discuss the importance of thorough documentation, clear findings, constructive recommendations, and adherent to banking standards. Provide examples from past reports where your findings led to meaningful changes or improvements.

Respond by outlining your experience with Alteryx, including specific projects where you used it for data analytics. Highlight key functionalities such as data blending or preparation and how it has enhanced your auditing processes. Emphasize your ability to draw insights from analytics to inform audit outcomes.

Choose a specific example to showcase your problem-solving skills. Detail the challenge you faced, how you addressed it, and what the outcome was. Highlight the skills you used to overcome the challenge and what you learned from the experience that can benefit future audits.

In your response, explain your approach to investigating discrepancies. Discuss the importance of thorough analysis, collaboration with relevant teams, and documenting the findings clearly. Highlight any frameworks or processes you adopt to address and rectify issues effectively.

Discuss your criteria for evaluating access controls, such as policy compliance, user roles, monitoring practices, and potential risks. Ensure to mention how conducting a risk assessment can help you identify weaknesses and strengthen data protection measures.

Talk about how data lineage provides transparency into data flows and transformations. Explain how tracking and documenting lineage is critical for identifying data quality issues and compliance with regulatory standards. Share instances where effective data lineage assessment led to improved audit outcomes.