Enterprise Data Analyst Senior

$107,657 - $179,428/Yr

M&T Bank - Wilmington, DE

Full-time - Mid Level

Wilmington, DE

Credit Intermediation and Related Activities

About the position

The Enterprise Data Analyst Senior role focuses on analyzing large and complex data sets to support business strategies and improve key business outcomes. This position involves mentoring junior analysts and encompasses the entire analysis lifecycle, from requirements gathering to execution and design planning. The analyst will transform raw data into structured information to drive strategic business decisions.

Responsibilities

• Identify authoritative data sources and accurate data fields for internal projects.
• Wrangle complex data sets using SQL or Python for analysis and delivery.
• Document complex data flows and develop enterprise-level data solutions.
• Prepare and execute large project test plans and scripts using SQL and Python.
• Mentor junior analysts on data policies and procedures.
• Translate business data needs into technical specifications for data engineers.
• Conduct root-cause analysis of defects and triage to relevant teams.
• Communicate proposed data flows and mappings to stakeholders.
• Adhere to risk and regulatory standards and escalate issues as needed.
• Promote diversity and reflect the M&T Bank brand.
• Maintain internal control standards and implement audit points.

Requirements

• Bachelor's degree and a minimum of 5 years related experience, or 9 years combined higher education and/or work experience with 5 years related experience.
• Experience pulling data from SQL platforms.
• Experience completing user acceptance testing for data products.
• Basic knowledge of data management.
• Knowledge of data cataloging and data lineage tools.
• Experience querying data modeled in various techniques.

Nice-to-haves

• Experience working as a member of an Agile Team.
• Experience leading/mentoring team members on analyst activities.
• Experience in creating data flows and high-level solutions.
• Advanced skills in SQL.
• Advanced knowledge of data management.
• Knowledge of assigned domain products, systems, and workflows.
• Data classification and privacy experience.
• Experience using Data Governance Tools.
• Knowledge of statistic and data science techniques.

Benefits

• Competitive salary based on experience and skills.
• Comprehensive health insurance coverage.
• 401k retirement savings plan with company matching.
• Paid time off and holidays.
• Professional development opportunities.