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Data Analyst

Role overview

Qualifications

  • 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.

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.

Key facts

Other skills

  • Detail Oriented
  • Quality Assurance
  • Spreadsheets
  • Communication
  • Reliability
  • Time Management
  • Problem Solving

About the company

Decisions logo

Decisions

Computer Software / SaaS

Decisions provides a rules-driven, no-code platform, enabling companies to drastically reduce their time to market for their applications. Decisions technology is deployed as the basis of multiple commercial applications in healthcare, life sciences, finance, logistics, and operations software. It is used directly by companies on almost every continent, ranging from mid-size companies to many Fortune 500 corporations. Decisions provides one no-code platform for all types of business processes. With our no-code visual designer you can deploy fast and empower business users to manage their own processes. There are thousands of features built-in, ready to drag and drop and you’re done! Our rules-driven automation allows you to adapt quickly to price changes, regulations, customer demands and more. We have seen technology evolve rapidly during the past decade, and the disruption of Covid-19 cannot be understated. Entire industries have been forced to reengineer how they get work done. The chaos caused by the pandemic has shown how ill-prepared many businesses are to adapt to sudden changes. For example, processing paperwork is difficult when employees are remote and paper forms are physically at the office. Without automation, these processes grind to a halt. Systems and processes that are inflexible and cannot scale break down when people change their behavior all at once. These are just some of the challenges presented by the global pandemic that are accelerating the adoption of automation and digital transformation. We remain committed to delivering an experience that gives more control and configuration ability to administrators. Specifically, allowing programmers to build things that can be configured by non-programmers in a way that is safe, visible and flexible. This challenge has driven us to create numerous technologies in use today at some of the world's largest and most innovative companies.

Company details

Company typeSME
IndustryComputer Software / SaaS
Company size51 - 200

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Job description

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. 

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. 

Key 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. 

Minimum Qualifications 

  • 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. 

Preferred Qualifications 

  • 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 

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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