As an Enterprise Data Analyst Senior at M&T Bank, your primary responsibilities include translating business data needs into technical specifications, maintaining data quality through the management of metadata and lineage, and conducting user acceptance testing. You'll also be involved in classifying sensitive data to meet regulatory standards and leading issue resolution with data product owners.

To qualify for the Enterprise Data Analyst Senior position at M&T Bank, you need a bachelor’s degree along with at least five years of related experience in data analysis. However, if you have a combined minimum of nine years of higher education and work experience, you may still be eligible. Proficiency in SQL and experience working directly with business stakeholders to understand and translate data requirements are essential.

The Enterprise Data Analyst Senior plays a crucial role in maintaining and improving data quality at M&T Bank. This includes identifying and addressing data issues, implementing data quality rules, and ensuring compliance with both internal data sharing agreements and external regulatory standards, all of which enhance the overall reliability of our data products.

In your role as an Enterprise Data Analyst Senior at M&T Bank, you will utilize various data governance tools and platforms to manage metadata and ensure data lineage. Familiarity with SQL and Not Only SQL (noSQL) platforms, as well as understanding data management systems, will be important for successfully performing your duties.

M&T Bank provides robust opportunities for professional growth and development for an Enterprise Data Analyst Senior. Employees are encouraged to engage in continuous learning, whether it's through formal training, mentorship programs, or workshops. Additionally, there are pathways for career advancement within the organization as you enhance your skills and expertise.

When answering this question, share specific examples of projects you have worked on where you queried databases using SQL. Highlight your ability to identify and extract the necessary data fields that contributed to business objectives.

To demonstrate your approach, talk about your method for collaborating with stakeholders to comprehend their needs. Discuss how you verify data sources and how you maintain a detailed record of metadata to support accuracy in data translations.

Explain your problem-solving process, emphasizing your experience with identifying data issues, collaborating with data owners for resolution, and implementing data quality rules to prevent future occurrences.

In your response, provide a specific example of a project where you were involved in user acceptance testing. Highlight how you developed test cases based on business requirements and the outcome of the testing process.

Detail any projects where you had to classify data according to regulatory standards. Discuss specific regulatory requirements you’ve worked with and how you ensured compliance during data handling.

Share your strategies for effective communication and collaboration with different team members. Highlight the importance of understanding various perspectives in contributing to shared goals.

Discuss the specific tools you have utilized for data governance, their functions, and any efficiencies they introduced to your data management processes. Mention any outcomes from using these tools.

Discuss your time management strategies and your approach to prioritizing tasks based on urgency and importance. Mention any tools or techniques you use to keep track of deadlines.

Promote a recent success that had a significant impact on your team or company. Be specific about your contributions and the skills you utilized to achieve this success.

Your answer should reflect your understanding of M&T Bank's values and goals. Connect your skills and career ambitions to the mission and culture of the bank, emphasizing how you see yourself contributing to their success.