Taylor Hodson Staffing

Data Specialist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Specialist with 1–3 years of experience in data operations, focusing on data cleanup and migration for a Financial Services firm in New York, NY. Contract length is unspecified, with strong Excel skills required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
216
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🗓️ - Date
January 17, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#CRM (Customer Relationship Management) #Data Science #Data Cleaning #Data Quality #Compliance #Data Management #Migration #Data Migration
Role description
Our client, a well-known Financial Services firm in New York, NY, is seeking a Data Operations Specialist to join its team. This role will play a key part in a large-scale Data Clean-Up and Optimization project, ensuring the accuracy, integrity, and usability of critical business information. The ideal candidate will be detail-oriented and comfortable working with large data sets and internal systems. 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 • Maintain data quality standards by identifying and correcting discrepancies, duplicates, and outdated information.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 (Finance, Operations, IT, Compliance) 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. 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 • Strong Excel skills • High attention to detail with strong organizational and problem-solving skills. • Ability to work both independently and collaboratively in a fast-paced, project-driven environment. • Bachelor’s degree in Business, Finance, Data Science, or a related field preferred.