M&T Bank · 2 days ago

Enterprise Data Analyst

Wilmington, DE

Full-time

Hybrid

Mid Level

$77K/yr - $128K/yr

2+ years exp

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Insider Connection @M&T Bank

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Responsibilities

Partner with engineering and product development teams to understand business requirements.

Prototype data using Structured Query Language (SQL) or other querying tools with guidance from more experienced personnel.

Understand data flows for business user stories within the context of data.

Create mapping and specifications from requirements identified in user stories, profile and review mapping requirements and business scenarios to flush out requirements.

Conduct basic data analysis.

Prepare, create, and execute test plans and scripts using SQL, Python or scripting to test user stories with guidance from more experienced personnel.

Provide appropriate data to inform business decisions based on working knowledge of specific business processes within their assigned business domain.

Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Design, implement, maintain and enhance internal controls to mitigate risk on an ongoing basis. 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.

Qualification

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SQLData AnalysisStatistical ToolsData CatalogingData LineageBusiness domain knowledgeData governance policiesPythonAgile team collaborationProblem solving

Required

Bachelor’s degree and a minimum of 2 years related experience, or in lieu of a degree, a combined minimum of 6 years higher education and/ or work experience, including a minimum of 2 years related experience

Intermediate skills in SQL for data

Proficient with data analysis and statistical tools

Basic knowledge of data cataloging and data lineage tools