Data Analytics Intern: Impact Education with Data & AI

ConnectPrep, LLC

Washington (District of Columbia)

Vor Ort

USD 28.000 - 41.000

Teilzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Ground-floor opportunity
Bold ideas team
Valuable experience

Zusammenfassung

ConnectPrep in Washington, DC, is offering a Data Analyst Internship that blends instructional and technical work. You will work with educators to validate models that drive analytics and help identify student needs through data.

Ideal candidates study math, statistics, CS or data science, have some coding experience (SQL, Python, Pandas) and strong Excel skills. This internship provides hands-on experience with data infrastructure and analytics in education.

Qualifikationen

  • You are studying (or have studied) Applied Mathematics, Statistics, Computer Science, Data Science, or a related field.
  • You have some coding experience and a strong interest in technology and AI.
  • You have experience with SQL, Python data tools (Pandas, NumPy, or similar).
  • You have experience building simple data pipelines or analysis scripts in Python.
  • You are comfortable doing serious work in Excel with advanced formulas, tables, pivot tables, and data visualizations.

Aufgaben

  • Validate and iterate models that drive our analytics.
  • Develop understanding of the algorithms and platforms supporting our products.
  • Synthesize knowledge into actionable tests to identify student needs.
  • Assist with data analysis for marketing campaigns, content performance, and business operations.

Kenntnisse

Creative problem solving
Quantitative skills
Attention to detail
Curiosity about data

Ausbildung

Applied Mathematics
Statistics
Computer Science
Data Science

Tools

SQL
Python
Pandas
NumPy

Jobbeschreibung

ConnectPrep in Washington, DC, is offering a Data Analyst Internship that blends instructional and technical work. You will work with educators to validate models that drive analytics and help identify student needs through data.

Ideal candidates study math, statistics, CS or data science, have some coding experience (SQL, Python, Pandas) and strong Excel skills. This internship provides hands-on experience with data infrastructure and analytics in education.

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