Education Data Analyst Intern – Chronic Absenteeism Project
State of Vermont
internship
Posted on:
Location Type: Hybrid
Location: Montpelier • Vermont • 🇺🇸 United States
Visit company websiteSalary
💰 $14 - $22 per hour
Job Level
Entry Level
Tech Stack
AzurePythonSQL
About the role
- Learn and apply data validation methods using tools such as SQL, Python, and R.
- Work with data sourced from the Ed-Fi API.
- Support efforts to ensure attendance data is clean, accurate, and ready for reporting.
- Gain experience presenting data requirements and answering field questions.
- Conduct basic analysis such as student counts and trend identification.
- Apply nuanced business rules for attendance data at different organizational levels.
- Explore relationships between absenteeism and other variables (e.g., academic performance, grade progression, discipline records).
- Write and maintain scripts used in data processing and analysis.
- Assist with data collection, quality assurance, and maintenance related to education data.
- Develop and implement scalable data validation checks.
- Develop code for analysis of data, analyze and report on data findings.
- Create data products such as surveys, dashboards, and reports for both internal and external stakeholders.
- Collaborate with team members to ensure project alignment with divisional goals.
- Use shared project management tools (e.g., MS Azure DevOps) to document procedures and tasks.
- Support the development of legislative reports and other official communications.
- Test systems and report bugs related to education data environments.
Requirements
- Must be currently pursuing a Bachelor's degree or higher in computer science, data analytics, or closely related field.
- Understanding of data science principles including data acquisition, cleaning, and maintenance.
- Familiarity with scripting and data tools such as SQL, R, Python.
- Ability to maintain confidentiality in compliance with FERPA.
- Willingness to learn and apply data quality methods and reporting standards.
- Team collaboration skills, including participating in meetings and cross-divisional work.
- Ability to document processes and follow standard operating procedures.
- Strong communication skills, including explaining technical data issues to non-technical audiences.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data validation methodsSQLPythonRdata analysisdata processingdata quality assurancedata cleaningdata acquisitiondata reporting
Soft skills
team collaborationstrong communicationability to document processeswillingness to learnparticipation in meetingsexplaining technical issuesmaintaining confidentiality