Data Processing

Data Processing Overview

• The Data Processing role is a temporary contract position for a professional services company.
• This position is fully remote, offering flexibility and convenience for candidates.
• Work hours are Monday through Friday, 9 AM to 6 PM EST.
• Contribute to testing and validating innovative internal tools for operational efficiency.
• Engage in structured onboarding and training to master data processing workflows.
• Support high-volume data processing tasks with precision and consistency.
• Collaborate with a dynamic team in a detail-oriented and process-driven environment.
• Opportunity to gain valuable experience in a professional services setting.

Data Processing Key Responsibilities & Duties

• Learn and execute a defined data processing workflow through structured training materials.
• Process a high volume of cases accurately and consistently following step-by-step guidelines.
• Review input documents, extract relevant data, and validate information as trained.
• Identify and flag any inconsistencies or errors within processed data.
• Support tool testing by comparing outputs from standard and AI-assisted tools.
• Provide structured feedback on discrepancies and errors in tool outputs.
• Participate in feedback sessions to improve tool performance during testing phases.
• Ensure all tasks are completed within the engagement timeline without loose ends.
• Maintain effective communication with the team to address issues and clarify uncertainties.

Data Processing Job Requirements

• Bachelor of Arts (BA) degree or equivalent educational background.
• Minimum of 2 years of experience in data entry, processing, or operations roles.
• Proficiency with spreadsheets and document-based workflows.
• Ability to learn new software tools and internal systems efficiently.
• Strong written communication skills for structured feedback and issue reporting.
• Detail-oriented with a focus on accuracy and consistency in high-volume tasks.
• Process-driven mindset with adherence to structured workflows and guidelines.
• Availability to work remotely during the specified schedule and meet throughput targets.
• Reliable and communicative, with a proactive approach to problem-solving.