As a Wealth Reporting & Analytics Senior Analyst at M&T Bank, your key responsibilities include conducting strategic analyses, developing insightful reports, and collaborating with partners to provide data-driven insights. You will leverage your expertise in BI tools and programming languages to create advanced dashboards and reports that support our Wealth Management leadership in decision-making processes, while also mentoring less experienced team members.

To qualify for the Wealth Reporting & Analytics Senior Analyst role at M&T Bank, you need a Bachelor’s degree in a relevant field and at least 5 years of corresponding experience. Alternatively, a combination of at least 9 years of higher education and work experience is acceptable. Experience with SQL, data visualization tools, and a background in statistical analysis is also essential to succeed in this role.

A Wealth Reporting & Analytics Senior Analyst at M&T Bank should possess strong technical skills, including proficiency in SQL or a similar data language, experience with data visualization tools like Tableau, and knowledge of analytic programming languages such as SAS and Python. These skills will be instrumental in developing complex data flows and insightful dashboards to inform business strategies.

M&T Bank is committed to fostering employee growth and development. As a Wealth Reporting & Analytics Senior Analyst, you'll have opportunities to mentor less experienced team members and participate in learning sessions focused on data visualization best practices. The culture at M&T promotes continuous personal and professional advancement within a collaborative environment.

The salary range for the Wealth Reporting & Analytics Senior Analyst position at M&T Bank is between $97,869.52 and $163,115.87 annually. The specific compensation will be determined based on your individual qualifications, including your experience and skill set.

When discussing your experience with data visualization tools, be specific about which tools you've used, such as Tableau or Power BI. Highlight particular projects where you analyzed data and created visual representations that influenced business decisions. Show how your technical skills directly contributed to the analysis and how you presented your findings to various stakeholders.

To effectively prioritize multiple analysis requests, I focus on stakeholder communication and understanding the business impact of each request. I would assess the urgency and significance of the analyses relative to business objectives, ensuring that the most critical tasks are completed first. Additionally, employing project management tools can also help streamline workload and keep everything organized.

In response to this question, recount a specific instance where your analysis led to concrete recommendations. Explain the data you analyzed, the insights you uncovered, and how your suggestions were implemented. Emphasize the impact your recommendations had on the business, such as an increase in customer acquisition or retention.

Discuss your proficiency in programming languages like SQL, SAS, or Python. Share how you used these languages in data extraction, transformation, and analysis. Provide examples of projects where your programming capabilities shaped the analysis outcome and led to impactful visual insights in your reports.

In dealing with conflicting analysis and management intuition, it's crucial to remain diplomatic and present your findings calmly. Focus on the logical reasoning backed by your data. Use clear visualizations and detailed explanations to convey your points, while being open to dialogue about their viewpoints. Such interactions can often lead to stronger strategies.

To ensure accuracy, I implement a structured data validation process before finalizing any reports. This includes cross-referencing data sources, conducting sanity checks, and reviewing analyses with peers for feedback. Detailed documentation of my methods and findings also aids in maintaining transparency and accuracy.

In previous positions, I have developed various KPIs such as customer acquisition costs, retention rates, and the effectiveness of marketing campaigns. Use specific examples to illustrate how you tracked these KPIs using data visualization tools, translating them into actionable insights for management.

Staying current with industry trends is critical. I regularly read industry publications, participate in webinars, and engage in online forums focused on wealth management and data analytics. Additionally, being part of professional networks and attending conferences helps me gather insight into best practices and technological advancements.

When creating a new dashboard, I consider the specific needs of the stakeholders, ensuring that the data visualizations align with their business objectives. I involve them in the requirement-gathering phase to understand what metrics are most important. Usability is also vital, so I focus on clean, intuitive designs that convey information effectively.

I employ various methodologies such as SWOT analysis, PEST analysis, and competitor benchmarking when assessing market opportunities. I rely on both qualitative and quantitative data to provide a comprehensive view of potential markets and assess their attractiveness based on our capabilities and strategic goals.