Reference Data Analyst Senior

M&T Bank

M&T Bank is driven by the mission to harness the power of data for informed decision-making. The team focuses on building sustainable data products, facilitating insightful data access, and supporting data governance to drive innovative solutions. Operating in a dynamic environment, the team values diverse perspectives as a cornerstone of innovation.

In this role you can expect to have the responsibilities:

• Collaborate with stakeholders and data teams to analyze business processes and implement data standardization.
• Ensure business requirements translate into effective system solutions with data product teams.
• Support data standardizations, metadata management, and data lineage documentation.
• Analyze and resolve data quality issues, coordinating with business teams and reporting to the Enterprise Data Issue Management team.
• Conduct additional duties as part of the Enterprise Data Delivery team.

This role comes with the following benefits:

• Flexible hybrid work schedule allowing for remote work two days a week.
• Diversity, equity, and inclusion focused work environment.

This role requires you to have:

• Bachelor's degree with 5 years related experience, or equivalent higher education and work experience.
• Strong knowledge in Reference Data Management principles in the Financial industry.
• Experience with Reference Data Platforms in the Financial industry.
• Proficiency in Data Warehouse architecture and Data Analytics concepts.
• Hands-on experience with SQL queries.
• Working knowledge of Agile methodology.

You would benefit from having:

• Experience with Financial industry Reference Data platform solutions.
• Expertise in Snowflake (SQL) and Python scripting.
• Understanding of Cloud computing and SQL programming in cloud environments.
• Knowledge of Oracle Reference Data products.
• Expertise in Data Warehouse architecture and Data Life Cycle Management.

M&T Bank engages in diversity, equity, and inclusion initiatives, supporting a work culture reflective of its brand and adheres to robust internal control standards and data governance principles.