Data Management Operations Sr Analyst

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.
• Conducts complex data analysis and validation.
• Maintains and improves data metrics.
• Develops and distributes advanced data reports.
• Collaborates with IT and business teams on data-related projects.
• Generates and distributes regular data reports to stakeholders.
• Provides 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
• Understanding of 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