Digital Analytics and Customer Insights Specialist

M&T Bank; New York (NY); Hybrid; USD 94,000 - 157,000; Full time

Job summary

M&T Bank in Baltimore, MD, seeks a Data Analyst on the Domain Analytics Team to drive insights for Marketing and Digital Product groups. You will design dashboards, profile data, and support analytics across the product lifecycle.

The role requires SQL expertise, experience with large databases, and BI tools such as PowerBI and Tableau. Collaboration and strong communication are essential in a cross-functional environment.

Qualifications

• Bachelor’s degree and a minimum of 3 years of 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
• Intermediate SQL querying experience with databases (SQL Server, Snowflake, etc)
• Experience working with large databases and BI/Visualization tools (PowerBI, Tableau)

Responsibilities

• Explore, mine, and profile data across multiple datasets to gain and interpret insights for dashboards, ad-hoc analysis and analytics products.
• Support digital platform modernization by designing and validating reporting, dashboards, and tracking solutions for migrations to new platforms and data sources.
• Collaborate with technical and non‑technical stakeholders to translate business questions into analytical solutions.
• Support analytics delivery by data quality checks, data modeling, and documentation practices.
• Develop business intelligence solutions designed to meet business needs.

Skills

SQL proficiency

Analytical thinking

Communication

Collaboration

Education

Bachelor’s degree

Tools

SQL Server

Snowflake

PowerBI

Tableau

Python

SAS

Alteryx

Job description

M&T Bank in Baltimore, MD, seeks a Data Analyst on the Domain Analytics Team to drive insights for Marketing and Digital Product groups. You will design dashboards, profile data, and support analytics across the product lifecycle.

The role requires SQL expertise, experience with large databases, and BI tools such as PowerBI and Tableau. Collaboration and strong communication are essential in a cross-functional environment.