IT Senior Data Quality Analyst

About the position The Enterprise Data Quality team at KeyBank is seeking a highly motivated and detail-oriented Data Quality Senior Analyst to lead the daily operations within the data quality rule writing Coverage team. The Coverage team ensures data assets at Key are supported by the appropriate data quality rules, through direct rule definition & implementation, as well as supporting partners throughout Key as they create and implement their own rules. This is a foundational component of our Enterprise Data Quality Program. This role is essential to ensuring data is trustworthy and fit for its intended use across regulatory, analytics, AI, and reporting functions. The ideal candidate is a passionate data advocate with a strong understanding of banking processes, data quality principles, tools, and best practices paired with advanced SQL proficiency that is critical to effectively interrogating, validating, and monitoring data at scale. Leveraging technical expertise, business acumen, and leadership skills, the Senior Analyst will drive data quality coverage efforts by leading internal quality development and assurance processes, organizing tasks within the team, and serving as a trusted advisor for DQ rules created within the team and by our partners across the Bank.

Responsibilities

• Take ownership & help drive the Enterprise Data Quality Coverage strategy.
• Serve as the senior technical expert for the design, implementation, and ongoing management of DQL-based data quality rules aligned to both enterprise standards and business objectives.
• Collaborate with data owners and stakeholders to define and implement SQL based rules in the Key DQ application.
• Apply business acumen, data profiling, and analysis techniques to enhance quality rule design.
• Lead internal code (quality rule) review & quality assurance processes.
• Facilitate interactive sessions with stakeholders to review and enhance rule results.
• Build strong relationships with data owners, custodians, and consumers to increase data quality support for existing processes.
• Look for continual improvement in the data quality measurement process.

Requirements

• Strong attention to detail and comfort with data
• Proven organizational and project management skills
• Excellent communication skills
• Ability to form relationships and collaborate effectively with data owners
• Problem-solving skills and ability to support and escalate issues as needed
• Strong SQL skills
• Experienced partnering with both technical and non-technical roles
• 5 + years of experience, preferably in Banking or Finance
• 2+ years of experience in data quality, ideally establishing, operationalizing, and continuously improving aspects of a data quality program and practices (e.g., DCAM)
• Understanding of data management principles, data governance, and regulatory requirements, particularly regarding data quality coverage and monitoring of sensitive and critical data
• Excellent analytical, problem-solving, and data quality assessment skills.
• Exceptional communication skills, with the ability to tailor communication to diverse audiences, drive consensus, and influence stakeholders
• Demonstrated ability to build partnerships and collaborate effectively to achieve shared objectives
• Strong negotiation, influencing, and stakeholder management skills
• Demonstrates the ability to examine a specific problem and understand the perspective of stakeholders; uses fact-finding techniques to identify and document specific problems
• Strong organizational acumen, including understanding of systems, management processes, and information sources
• Strong business acumen: understanding of how data quality impacts business units and how data quality programs support business objectives
• Proficient in Microsoft Office/365 products (Word, Excel, PPT)
• Bachelor’s degree in Information Management, Computer Science, Finance, or related field, or equivalent experience required

Nice-to-haves

• Experience with data quality management and defect tracking systems
• Analytical skills to understand and interpret data issues
• Ability to work independently and manage multiple tasks simultaneously
• Proficiency in data analysis tools and software
• Strong ability to prioritize tasks effectively
• Continuous improvement mindset to enhance the defect management process
• Deep knowledge of ‘dimensions of data quality’ and experience in applying them to business data.
• Strong understanding of financial products (e.g., loans, deposits, & investments).
• Proficiency in data quality tools and technologies, including data quality management, metadata, coverage standards, monitoring, and defect management
• Familiarity with data catalog capabilities and tools (e.g., Alation, Collibra)
• Familiarity with dashboarding technologies (e.g., Tableau, PowerBI)
• Familiarity with cloud-based technologies (e.g., GCP, AWS)

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