Data Quality & Migration Specialist

Taylor Hodson Staffing; New York (NY); On-site; USD 60,000 - 80,000; Full time

Job summary

A well-known Financial Services firm in New York, NY, is seeking a detail-oriented Data Operations Specialist to join its team. The role is essential for a large-scale data clean-up and optimization project, ensuring the integrity and usability of critical business information. Ideal candidates will have 1–3 years of experience in data operations, be comfortable working with large data sets, and possess strong problem-solving skills. This role offers an opportunity to collaborate with cross-functional teams and contribute to data quality improvements.

Qualifications

• 1–3 years of experience in data operations, data management, or a related role.
• Hands-on experience with data cleaning, data migration, and CRM systems.
• High attention to detail with strong organizational and problem-solving skills.

Responsibilities

• Assist with data transfers and support data migration initiatives across multiple platforms.
• Perform data cleanup, validation, and enrichment to ensure accuracy and consistency across internal systems.
• Maintain data quality standards by identifying and correcting discrepancies, duplicates, and outdated information.
• Prepare, organize, and deliver accurate data reports for internal stakeholders.
• Collaborate with cross-functional teams to ensure alignment and smooth execution of data initiatives.
• Document processes and provide recommendations for ongoing improvements in data management.
• Contribute to ad-hoc data projects and provide general support as needed.

Skills

Data operations

Data management

Data cleaning

Problem-solving skills

Attention to detail

Education

Bachelor’s degree in Business, Finance, Data Science or related field

Tools

CRM systems

Job description

A well-known Financial Services firm in New York, NY, is seeking a detail-oriented Data Operations Specialist to join its team. The role is essential for a large-scale data clean-up and optimization project, ensuring the integrity and usability of critical business information. Ideal candidates will have 1–3 years of experience in data operations, be comfortable working with large data sets, and possess strong problem-solving skills. This role offers an opportunity to collaborate with cross-functional teams and contribute to data quality improvements.