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Enterprise Data Analyst
Company | M&T Bank |
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Location | Wilmington, DE, USA |
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Salary | $91061.75 – $151769.58 |
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Type | Full-Time |
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Degrees | Bachelor’s |
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Experience Level | Mid Level |
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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