Posted in

Enterprise Data Analyst

Enterprise Data Analyst

CompanyM&T Bank
LocationWilmington, DE, USA
Salary$91061.75 – $151769.58
TypeFull-Time
DegreesBachelor’s
Experience LevelMid Level

Requirements

  • 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

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
  • 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.

Preferred Qualifications

  • 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