The Role
Support development and delivery of reporting and BI solutions: acquire, transform, validate, and present data; build automated ETL workflows, dashboards, and reports; ensure data quality and governance; translate business requirements into actionable reporting; collaborate with Data Engineering and Visualization leads; support testing, deployment, and stakeholder training.
Summary Generated by Built In
OVERVIEW:
Supports the development and delivery of data, reporting, and business intelligence solutions that enable informed decision-making across regional reporting and enterprise initiatives. Partners with Data Engineering and Data Visualization leads to acquire, transform, validate, and present data through scalable reporting assets, automated processes, and interactive dashboards.
Contributes to the modernization of reporting capabilities by supporting ETL development, report automation, data governance, and business intelligence initiatives that improve access to trusted, actionable insights.
POSITION RESPONSIBILITIES:- Compile, explore, transform, and validate data from multiple internal and external data sources for reporting and analytics purposes.
- Develop, maintain, and document automated data workflows and reporting assets used across reporting and analytics solutions.
- Perform data profiling, reconciliation, and quality assurance activities to ensure accuracy and consistency of outputs.
- Support data governance initiatives through documentation of data definitions, business rules, and transformation logic.
- Build and maintain dashboards, scorecards, reports, and visualizations. Partner with Data Visualization leads to ensure adherence to reporting standards, visualization best practices, and user experience expectations.
- Support dashboard testing, deployment, enhancement, and ongoing maintenance activities.
- Collaborate with business partners to understand reporting needs and support data-driven decision making. Translate business requirements into reporting solutions that provide actionable insights to business partners and leadership.
- Assist with recurring and ad hoc reporting requests while identifying opportunities to improve efficiency through automation.
- Partner closely with Data Engineering lead and Data Visualization lead to deliver scalable and governed reporting solutions.
- Share knowledge, document processes, and contribute to continuous improvement efforts across the team.
- Provide support and training to stakeholders as needed.
- Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Identify risk-related issues needing escalation to management.
- Promote an environment that supports diversity and reflects the M&T Bank brand.
- Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
- Complete other related duties as assigned.
No supervisory responsibility.
MINIMUM QUALIFICATIONS REQUIRED:- Bachelor’s degree and a minimum of 3 years of related experience, or in lieu of a degree, a combined minimum of 7 years higher education and/ or work experience, including a minimum of 3 years related experience
- Experience working with large datasets and relational databases.
- Experience developing SQL queries and performing data analysis.
- Familiarity with business intelligence, reporting, or data visualization tools.
- Experience translating business requirements into reporting or analytical solutions.
- 4 or more years related work experience in data analysis
- Intermediate skills in programming languages such as SQL, Python
- Experience working with a statistical analysis software package
- Experience with one or more cloud databases.
- Experience working within an agile environment
Skills Required
- Bachelor's degree and a minimum of 3 years of related experience (or equivalent combination of education and experience totaling 7 years with at least 3 years related experience)
- Experience working with large datasets and relational databases
- Experience developing SQL queries and performing data analysis
- Familiarity with business intelligence, reporting, or data visualization tools
- Experience translating business requirements into reporting or analytical solutions
- 4 or more years related work experience in data analysis
- Intermediate skills in programming languages such as SQL, Python
- Experience working with a statistical analysis software package
- Experience with one or more cloud databases
- Experience working within an agile environment
M&T Bank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about M&T Bank and has not been reviewed or approved by M&T Bank.
-
Retirement Support — Retirement benefits are positioned as a strong pillar, including a 401(k) match and the possibility of an additional employer contribution, plus access to an employee stock purchase plan.
-
Leave & Time Off Breadth — Time-off offerings are framed as competitive, with a flexible PTO approach and paid volunteer time called out as a meaningful add-on to standard leave.
-
Wellbeing & Lifestyle Benefits — Wellbeing support appears comparatively robust, highlighted by mental-health therapy/coaching sessions and broader wellness programming alongside community-oriented perks.
M&T Bank Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
M&T Bank is a multi-state community-focused bank serving New York, Maryland, New Jersey, Pennsylvania, Delaware, Connecticut, Virginia, West Virginia and Washington, D.C. Founded in 1856, the company provides banking, investment, insurance and mortgage financial services to more than 3.6 million consumer, business and government clients.
