Enterprise Data Analyst II

Posted 6 Days Ago
Buffalo, NY
83K-138K Annually
Mid level
Fintech
The Role
The Enterprise Data Analyst II is responsible for analyzing large data sets to support business strategies. Key duties include data wrangling using SQL, documenting data flows, executing test plans, and ensuring adherence to company standards while promoting diversity within the organization.
Summary Generated by Built In

This role offers a hybrid work schedule; offering the flexibility to work remotely two days a week, while providing the opportunity for in-person collaboration. Sponsorship is NOT available for this position.

OVERVIEW:
Specializes in working with large and complex data sets to evaluate, recommend, and support the implementation of business strategies. Identifies and compiles data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes.

This role encompasses a comprehensive analysis lifecycle, covering requirements gathering, activity execution and design planning. Transforming raw data into structured information which will then be analyzed to glean insights that drive strategic business decisions. 


POSITION RESPONSIBILITIES:
Identify the most accurate data field(s) when domain data is sourced for internal projects and/or products by querying databases. Maintain basic knowledge of domain's products and services, and an understanding of how data supports those offerings.

Wrangle data using SQL for analysis and delivery purposes. Locate and explain data assets and connect them across different platforms and formats using Structured Query Language (SQL) or other querying tools
Understand and document business data flows for business user stories, profile and review data sets to flush out mappings and specifications for the designated use cases.

Prepare, create and execute complex scenario test plans and scripts using SQL, Python or scripting to test complex user stories.

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.
MINIMUM QUALIFICATIONS REQUIRED:
Bachelor’s degree and a minimum of 3 years 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
Knowledge of relational databases
Basic knowledge of data management
Intermediate skills in Structured Query Language (SQL)
Basic knowledge of statistics, data science techniques and tools
Basic Knowledge of data cataloging and data lineage tools


IDEAL QUALIFICATIONS PREFERRED:
Experienced working as a member of an Agile Team

Advanced skills in SQL

Advanced knowledge of data management

Experience with Data Analysis, Mapping, profiling and impact analysis in big data environments

Experience in creating data flows for high level solutions with data

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $82,783.41 - $137,972.36 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.

LocationBuffalo, New York, United States of America

Top Skills

Python
SQL
The Company
Baltimore, MD
21,590 Employees
On-site Workplace

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.

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