Data Analyst

About the role

The HITL Data Analyst is responsible for reviewing transcript extraction results, correcting errors, and helping maintain high standards for accuracy and quality. This is a queue-based operational role suited for someone who is detail-oriented, dependable, and comfortable performing structured, repetitive work. Success in this role means working carefully, following defined review guidelines, and completing assignments in a timely manner while escalating unclear cases when needed.

Responsibilities

• Review AI-generated transcript extraction results against source documents.
• Correct data entry or extraction errors using defined guidelines.
• Validate that required fields are complete, accurate, and properly formatted.
• Follow established workflows for routing, review, and escalation.
• Flag unclear, complex, or exception cases for additional review.
• Maintain productivity and quality expectations in a queue-based environment.
• Keep work organized and document issues when instructed.
• Support team leads with other basic data quality tasks as needed.
• Essential Functions
• Perform document review and validation tasks with high attention to detail.
• Compare extracted data to academic transcripts and identify mismatches.
• Enter or correct data accurately within the review system.
• Follow structured procedures and quality standards consistently.
• Work through assigned queues within expected turnaround times.
• Communicate questions or issues clearly to a lead or supervisor.

Requirements

• High school diploma or equivalent required.
• 1+ years of experience in data entry, document review, quality checking, administrative support, or similar work preferred.
• Strong attention to detail and accuracy.
• Comfortable using web-based systems, spreadsheets, and standard computer tools.
• Ability to follow step-by-step instructions and work within defined processes.
• Reliable, organized, and able to manage repetitive tasks with consistency.
• Clear written and verbal communication skills.
• Experience reviewing transcripts, forms, claims, records, or other structured documents.
• Familiarity with data validation, OCR review, or quality assurance work.
• Experience in higher education, back-office processing, or queue-based service operations.
• Exposure to academic records or transfer credit workflows is a plus.
• Top Competencies for Success in This Role
• Attention to Detail
• Accuracy and Consistency
• Reliability
• Time Management
• Learning Agility
• Basic Problem Solving
• Team Collaboration

Additional Information

About Decisions Decisions is a fast-growing software company that helps organizations automate complex business processes with one platform for workflows, rules, integrations, and AI-assisted capabilities. Our teams work closely with customers to improve accuracy, reduce manual effort, and support better operational outcomes. As part of our Transfer Credit Evaluation offering, Human-in-the-Loop data analysis helps ensure transcript data is reviewed and corrected before it is delivered for downstream use. This role supports that process through focused document review, data validation, and consistent execution.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at decisions? Share your experience