Data Management Operations Sr Analyst

Job description

Description Summary: The Data Management Operations Senior Analyst plays a key role in ensuring the integrity and availability of data within the organization, by performing advanced data management activities, including complex data analysis, reporting, and quality assurance to ensure high-quality data that drives business insights and operational efficiency. Duties and Responsibilities: Works with business partners to understand requirements for data use, analysis, and quality. Ensures compliance with internal policies and external regulations, including data privacy, security, and governance standards, and therefore must maintain knowledge of the legal, compliance and regulatory issues impacting data. Conduct complex data analysis and validation. Monitors and improves data metrics. Develop and distribute advanced data reports. Collaborate with IT and business teams on data-related projects. Generate and distribute regular data reports to stakeholders. Provide mentorship to junior analysts. Performs other duties as assigned. Basic Qualifications: Bachelor’s Degree (Computer Science, Business Administration, Economics, or related fields) or equivalent relevant work experience 4+ years of experience in data-related operations, business operations, or process support roles. Preferred Qualifications: Advanced proficiency in data management tools. Strong analytical and problem-solving skills. Knowledge of data governance and data quality principles. Excellent communication and collaboration skills. Ability to design, document, and optimize operational workflows and standard operating procedures (SOPs). Experience with data intake, validation, reconciliation, and exception handling at scale. Strong analytical thinking with the ability to identify root causes of data issues and recommend sustainable solutions. Thorough knowledge of various software programs including Microsoft Office programs, and the ability to quickly learn new programs/systems. Strong interpersonal, communication and listening skills Strong problem-solving skills, focusing on outcomes and results. Understand DataOps and DevOps operational styles. Understanding of Data Management and Data Quality principles, best practices and processes Technical knowledge, skills and experience using Data Management tools. Working knowledge of available data sources and how they relate to each other. Collaborative working style and ability to facilitate cooperation with business stakeholders and analysts. Willingness and ability to learn new technologies on the job. Financial Services background. Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay) No Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Huntington will not sponsor applicants for this position for immigration benefits, including but not limited to assisting with obtaining work permission for F-1 students, H-1B professionals, O-1 workers, TN workers, E-3 workers, among other immigration statuses. Applicants must be currently authorized to work in the United States on a full-time basis. Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.