M&T Bank · 16 hours ago
Senior Enterprise Data Analyst
M&T Bank is a financial institution specializing in providing banking services. The Senior Enterprise Data Analyst role focuses on working with large and complex data sets to support business strategies and improve key outcomes while mentoring junior analysts.
Financial Services
Responsibilities
Identify the most authoritative sources of data and the most accurate data field(s) when domain data is sourced for internal projects and/or products by querying databases. Maintain advanced knowledge of domain's products and services, and an advanced understanding of how data supports those offerings
Wrangle complex data sets using SQL scripting for analysis and delivery purposes. Locate and explain data assets and connect them across different platforms and formats for multiple use cases
Understand and document complex data flows for multiple business user stories, profile and review complex mappings and specifications across multiple use cases, develop enterprise level data solutions for problem statements, and perform complex data analysis across multiple use cases
Prepare, create and execute large project, end to end test plans and scripts using SQL scripting and/or automation to test multiple/complex user stories
Applies intermediate knowledge of their business domain including Business Operations, Business Processes, Data Flows and uses of Data in order to provide appropriate data to inform business decisions
Mentor junior analysts in understanding M&T's data policies and procedures
Translate business data needs into technical source-to-target mapping specifications and sample data mock-ups that provide clear direction to data engineers to enhance current data products in collaboration with stakeholders
Conduct root-cause analysis of defects and triage these to the relevant teams for resolution depending on the root cause
Conduct impact analysis ahead of proposed business and/or technical changes
Communicate proposed data flows or source-to-target mappings along with their pros, cons, known limitations, variance materiality etc. to a variety of stakeholders, including business SMEs, product owners, data modelers, data engineers
Identify the most accurate data field(s) when domain data is sourced for internal projects and/or products by querying databases. Maintain advanced knowledge of domain's products and services, and an advanced understanding of how data supports those offerings
Provide and maintain accurate metadata and lineage on all domain data using industry-standard governance platforms, understand and verify transformation logic, and approve any metadata changes
Complete user acceptance testing including assisting in developing and running test cases based off business requirements
Translate business data needs into technical specifications that provide clear direction to data engineers to enhance current data products in collaboration with stakeholders
Classify data assets to meet regulatory and privacy requirements, including identifying personally identifiable information (PII) and payment card information (PCI) data
Evaluate, identify, and investigate data issues to ensure quality of the final data product. Lead coordination and implementation of data issue resolutions with data product owners
Participate in creation of data quality rules including rule definition and verification that rules accommodate domain specific nuances
Identify the correct data fields(s) to meet business requirements and monitor adherence to internal data sharing agreements
Assist with the coordination of third-party data to ensure appropriate usage
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 belonging 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
Qualification
Required
Bachelor's degree and a minimum of 5 years related experience, or in lieu of a degree, a combined minimum of 9 years higher education and/or work experience, including a minimum of 5 years related experience
Experience pulling data from Structured Query Language (SQL) platforms
Experience working under supervision to close data issues
Experience owning the business relationship to get business requirements and translate those into tech requirements for engineers
Experience completing user acceptance testing for data products
Basic knowledge of data management
Preferred
Basic knowledge of assigned domain products, systems, and workflows
Experience remediating data issues
Knowledge of assigned domain products, systems, and workflows
Data classification and privacy experience
Experience using Data Governance Tools
Knowledge of statistic, data science techniques and tools
Experience pulling data from Not Only SQL (noSQL) platforms
Experience working as a member of an agile team
Company
M&T Bank
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H1B Sponsorship
M&T Bank has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (116)
2024 (113)
2023 (84)
2022 (103)
2021 (42)
Funding
Current Stage
Late StageLeadership Team
Recent News
2025-10-07
2025-10-06
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