The Data Analyst Intern supports the Human-in-the-Loop (HITL) service pod by assisting with data processing, quality checks, and the collection of academic course catalog information. The intern helps maintain high data accuracy standards while learning key concepts in analytics, data quality, and AI-assisted workflows.
Responsibilities
- Assist with reviewing AI-generated transcript extractions and flagging errors for correction.
- Support the cleaning, formatting, and organization of datasets used for TCE processes and PROSPECT Course Co-Pilot.
- Help gather and input course catalog information using structured templates.
- Conduct basic reporting on accuracy rates and processing progress.
- Perform simple SQL queries or spreadsheet analyses under supervision.
- Help identify minor data issues and propose improvements.
- Document steps, findings, and improvements for training datasets.
Essential Functions
- Perform data entry and validation tasks with high attention to detail.
- Review computer reports and indicators to identify quality issues.
- Maintain well-organized data files, documentation, and updates.
- Collaborate with team members to ensure timely completion of data tasks.
Minimal Qualifications
- Currently studying Mathematics, Statistics, Engineering, Economics, Computer Science, Information Systems, or a related field.
- Basic understanding of data concepts such as datasets, tables, and data cleaning.
- Comfortable working in Excel or Google Sheets.
- Strong attention to detail and willingness to learn technical processes.
- Ability to follow structured workflows and accuracy requirements.
Preferred Qualifications
- Introductory experience with SQL or any statistical tool is a plus.
- Familiarity with academic environments or higher-education data is desirable.
- Interest in AI, machine learning, or data quality processes.
Top Competencies for Success in This Role
- Learning Agility – Quickly absorbs new tools and academic data structures.
- Attention to Detail – Ensures high-quality data handling.
- Analytical Thinking – Applies logic and curiosity to identify data issues.
- Collaboration – Works well within a fast-paced service pod.
- Ownership & Reliability – Delivers accurate results and meets deadlines.
Skills Required
- Currently studying Mathematics, Statistics, Engineering, Economics, Computer Science, Information Systems, or a related field.
- Basic understanding of datasets, tables, and data cleaning.
- Comfortable working in Excel or Google Sheets.
- Strong attention to detail and willingness to learn technical processes.
- Ability to follow structured workflows and meet accuracy requirements.
- Introductory experience with SQL or any statistical tool.
- Familiarity with academic environments or higher-education data.
- Interest in AI, machine learning, or data quality processes.
What We Do
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.
