Senior Data Quality Analyst

M&T Bank • Wilmington, DE

1d • Hybrid

About The Position

This is an exciting opportunity to join a high‑visibility team at a pivotal moment of growth, where capabilities, tooling, and enterprise reach have matured rapidly and continue to expand. The team operates at the core of the bank’s major transformation initiatives, partnering across multiple domains to deliver work with true enterprise‑wide impact—not isolated reporting or maintenance tasks. You’ll thrive in an innovation‑focused environment that actively introduces new technologies, adopts modern toolsets, and scales solutions across the organization. The day‑to‑day work is intentionally balanced, blending hands‑on automation and Python development, analytical problem‑solving, and close collaboration with stakeholders to keep the role dynamic and engaging. Just as importantly, the team embraces a skills‑first culture that prioritizes capability, execution, and problem‑solving over tenure, industry background, or pedigree—making this role ideal for someone eager to build, modernize, and make a meaningful impact.

Requirements

• Bachelor’s degree and a minimum of 5 years related experience, or in lieu of a degree, a combined minimum of 9 years higher education and/ or work experience, including a minimum of 5 years related experience.
• Proficiency with scripting and automation languages including Python and SQL.
• Experience developing solutions using Power BI and Power Apps.
• Strong understanding of data quality principles, methodologies, dimensions, and governance practices.
• Strong analytical, problem-solving, and conceptual thinking skills.
• Demonstrated experience collaborating across engineering, governance, and business teams.

Nice To Haves

• Experience with ETL/ELT processes, data integration platforms, and data warehouse environments.
• Proficiency with enterprise data quality and observability tools (e.g., Informatica Cloud DQ, Monte Carlo, Anomalo, Collibra OwlDQ) and their SDKs/APIs.
• Experience with data profiling techniques and defining DQ dimensions (completeness, validity, accuracy, timeliness, etc.).
• Experience implementing data quality frameworks and governance best practices.
• Experience with automation platforms such as Power Apps, Alteryx, or equivalent.
• Experience with cloud technologies such as Microsoft Azure and Snowflake.
• Experience designing CI/CD pipelines using GitLab, including integration with security and static code scanning tools.
• Experience working with AI/ML driven anomaly detection and data quality monitoring.
• Strong communication skills, with the ability to simplify complex data issues for non‑technical audiences.
• Proven ability to manage multiple initiatives and meet deadlines in a fast-paced environment

Responsibilities

• Lead comprehensive data quality assessments to identify, diagnose, and resolve data inconsistencies, anomalies, and defects.
• Utilize data profiling tools, observability platforms, and exploratory analysis techniques to evaluate data across systems.
• Develop, implement, and enforce enterprise data quality standards, rules, metrics, and validation frameworks.
• Collaborate with data engineers, data stewards, governance teams, and business stakeholders to operationalize sustainable data quality practices.
• Define processes and strategies for ETL/ELT and data integration-based quality checks, controls, and automated validations.
• Design, build, and maintain data quality and observability automation using Python, SQL, and enterprise tooling.
• Develop dashboards, applications, and workflow solutions using Power BI and Power Apps to support data quality reporting and automation.
• Research, scope, and determine complexity of data quality issues to recommend and implement remediation steps.
• Provide mentorship and knowledge sharing to junior analysts and team members.
• Prepare and present data quality insights, recurring metrics, and KPI dashboards for leadership and cross functional stakeholders.
• Monitor, identify, assess, document, and communicate data collection, storage, processing, or usage issues.
• Implement API-driven integrations (REST/GraphQL/SDKs) with DQ, catalog, ticketing, notification, and orchestration systems; handle OAuth2, pagination, rate limits, retries, and backoff.
• Stay current with industry trends and best practices in data quality, data governance, and data observability.
• Understand and adhere to the bank’s risk and regulatory standards, policies, and controls in alignment with the company’s Risk Appetite.
• Promote an environment of diversity, equity, inclusion, and alignment with the M&T Bank brand.
• Maintain M&T internal control standards, including timely remediation of audit and regulatory findings.
• Perform other related duties as assigned.

Benefits

• M&T Bank is committed to fair, competitive, and market-informed pay for our employees.
• As an employer of choice, we are proud to offer competitive benefits ranging from medical and retirement to forty hours of paid volunteer time, each year.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level