Senior Enterprise Data Analyst - Hybrid Lead & Mentor

M&T Bank; Buffalo (NY); Hybrid; USD 103,000 - 172,000; Full time

Benefits offered by this job

Health benefits

401(k) match 5%

Banking Officers start with 25 days PT

12 paid holidays

Job summary

M&T Bank in Buffalo, NY, is seeking a data analytics professional to transform complex data into actionable insights. You will integrate data from multiple sources, create robust data flows, and mentor junior analysts in data governance and policy compliance.

The role operates on a hybrid schedule (4 days in office / 1 day from home) and requires strong SQL, data modeling, and UAT testing skills to drive business decisions with data-driven precision.

Qualifications

• Bachelor's degree or 9 years combined education/work experience with 5 years in data analytics.
• Experience pulling data from SQL platforms and modeling data.
• Experience completing user acceptance testing for data products.
• Knowledge of data cataloging and data lineage tools.
• Experience creating source-to-target mappings and data flows.

Responsibilities

• Identify authoritative data sources and data fields for internal projects.
• Wrangle complex data sets using SQL or Python for analysis and delivery.
• Document data flows, mappings, and enterprise data solutions.
• Prepare and execute large end-to-end test plans and scripts.
• Mentor junior analysts on data policies and procedures.
• Communicate data flow benefits, risks, and limitations to stakeholders.
• Conduct root-cause and impact analyses for changes.

Skills

SQL

UAT testing

Data management

Data lineage

Data modeling

Agile

Mentoring

Source-to-target mappings

Education

Bachelor's degree

Tools

Python

Data governance tools

Job description

M&T Bank in Buffalo, NY, is seeking a data analytics professional to transform complex data into actionable insights. You will integrate data from multiple sources, create robust data flows, and mentor junior analysts in data governance and policy compliance.

The role operates on a hybrid schedule (4 days in office / 1 day from home) and requires strong SQL, data modeling, and UAT testing skills to drive business decisions with data-driven precision.