Senior Specialist, OPS Data Transfer, Integration & Quality

About the role

You'll make an impact by analyzing, reconciling, troubleshooting, and reviewing incoming and outgoing data to ensure accuracy and quality. You'll test data quality, communicate with vendors, and analyze and monitor data reports.

Responsibilities

• Analyze, reconcile, troubleshoot, and review data to ensure accuracy and quality.
• Test data quality and confirm findings with more senior team members.
• Communicate with outside vendors to ensure they have all necessary information.
• Analyze and monitor data and reports to ensure quality and accurate data transfer, integration, translation, and reporting.
• React promptly to data quality statistics and client inquiries.

Requirements

• Bachelor’s degree or 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.

Qualifications

To be considered for this role, you should have:

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

Skills

The ideal candidate should possess:

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Proficiency in pulse data, regression analysis, and Python.

Benefits

We offer:

• Competitive compensation and benefits.
• Flexible global resources and tools.
• Health, dental, vision, and life insurance.
• Paid volunteer time.
• Generous paid leave.
• Various paid time off benefits.

Pay

The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting. Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.

Schedule

This role is typically full-time, but specific schedule details will be discussed during the hiring process.