Okay, I've searched for Senior Data Analyst roles in Pittsburgh, focusing on finance, requiring SQL skills, and including positions that offer 401(k) benefits. I found 45 positions that match these criteria.

Sure. Here's the analysis:

Job Analysis:

The role of Data Analyst Senior at PNC focuses on developing and managing information systems within the MIS Finance organization, particularly centered on Frontier Reconciliation and SQL. Candidates are primarily hired to generate accurate data reconciliations and create efficient matching rules that support data integrity and workflow optimization. The responsibilities extend beyond just data handling; they involve working collaboratively with ETL developers and troubleshooting technical issues, which suggests a need for both technical acumen and the ability to work cross-functionally. A successful candidate will demonstrate not just familiarity with tools like SQL, but also possess the analytical thinking and problem-solving skills necessary to identify and resolve operational challenges in a timely manner. Candidates can expect to face complexities such as data discrepancies or technical failures that require quick resolution, showcasing their autonomy and judgment in decision-making. Ultimately, success in this role will be defined by the candidate's ability to improve data management processes, enhance reporting accuracy, and contribute to the overall enhancement of PNC's financial data systems within the first 6-12 months.

Company Analysis:

PNC stands as a significant player in the financial services industry, emphasizing a culture of inclusivity and collective success among its employees. They prioritize customer satisfaction, which directly influences the expectations for someone in the Data Analyst Senior role; candidates need to align their work with broader business objectives that enhance the customer experience. The company likely fosters a collaborative and results-oriented work environment, where innovative thinking is valued alongside adherence to traditional risk management practices. This role will likely operate within a structured team setting, providing opportunities for the candidate to showcase their work to leadership, thus enhancing visibility and career growth. Given PNC's mission of ensuring that their customers have a seamless financial experience, this role appears strategically pivotal for driving improvements in data systems that, in turn, support the organization’s operational goals.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral Questions:
• 1. Tell me about a time when you had to troubleshoot a technical issue in a data management system. What was the problem, and how did you resolve it?
• 2. Give an example of how you collaborated with cross-functional teams to achieve a project goal. What challenges did you face, and how did you overcome them?
• 3. Describe a situation where you had to analyze complex data to support a business decision. What approach did you take, and what was the outcome?
• 4. Can you share an experience where your analytical skills directly contributed to improving a work process or system?
• Technical/Role-Specific Questions:
• 5. How would you approach building and creating reconcilements and matching rules for data in Frontier?
• 6. What techniques do you utilize to optimize SQL queries for better performance in data imports?
• 7. Can you explain your experience with ETL processes and how you have worked with developers in the past?
• 8. What specific metrics do you consider important when tuning a system for faster imports?
• Situational Questions:
• 9. Imagine you are faced with a significant discrepancy in data after a reconciliation process. How would you go about identifying and fixing the issue?
• 10. If you encountered a technical limitation while trying to implement new matching rules, what steps would you take to address the problem?
• Company Fit/Motivation Questions:
• 11. Why are you interested in working at PNC, and how does the company’s mission align with your career goals?
• 12. What do you believe are the key qualities that contribute to being successful in a data-centric role within a customer-focused financial institution?
• Questions for the Candidate to Ask the Interviewer:
• 13. What can you share about the team structure and how this role collaborates with other departments?
• 14. How does PNC measure success for this position in the short and long term?
• 15. What opportunities for professional development does PNC offer to support employees in this role?