Senior Data Transfer & Quality OPS Specialist

BNY; Houston (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

BNY in Houston seeks a data analyst to analyze, reconcile, troubleshoot, and review data for accuracy across transactions and reporting. You will test data quality and coordinate with senior team members to validate findings, and communicate with outside vendors to obtain required information.

The role emphasizes data quality, accuracy, and timely responses to client inquiries. Strong attention to detail and experience in securities or financial services are valued, as is proficiency with Python

Qualifications

• Bachelor’s degree or the equivalent combination of education and experience is required.
• Advanced or graduate degree preferred.
• Typically 5-7 years of total work experience preferred.
• Experience in securities or financial services preferred.
• Experience with pulse data, regression analysis, and Python preferred.

Responsibilities

• Analyze, reconcile, troubleshoot, and review incoming and outgoing data to ensure accurate performance and output generated by organization technology products and solutions.
• Test data quality and confirm findings and conclusions with more senior team members.
• Communicate with outside vendors to confirm they have all necessary information.
• Analyze and monitor data and reports to ensure quality and accurate transfer, integration, translation, and reporting of data, reacting promptly to data quality statistics and client inquiries.

Skills

5-7 years of experience

Securities/financial services

Python

Education

Bachelor’s degree or equivalent experience

Advanced or graduate degree

Job description

BNY in Houston seeks a data analyst to analyze, reconcile, troubleshoot, and review data for accuracy across transactions and reporting. You will test data quality and coordinate with senior team members to validate findings, and communicate with outside vendors to obtain required information.

The role emphasizes data quality, accuracy, and timely responses to client inquiries. Strong attention to detail and experience in securities or financial services are valued, as is proficiency with Python