Data Analyst Internship
New
C
ConnectPrepEducation technology
Washington, District of Columbia, United StatesInternshipEntry
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLArtificial IntelligenceData AnalysisData MiningNumpyGoogle AnalyticsPandasMicrosoft ExcelSEO
Requirements
- Be studying or have studied Applied Mathematics, Statistics, Computer Science, Data Science, or a related field.
- Have some coding experience and a strong interest in technology and AI.
- Have experience with SQL or Python data tools such as Pandas or NumPy, or with building simple Python data pipelines or analysis scripts.
- Be comfortable using Excel for analysis, including advanced formulas, tables, conditional formatting, charting, pivot tables, data tables, simulations, or Solver.
- Have strong math or quantitative skills and excellent attention to detail.
- Enjoy creative problem solving and working with messy, real-world data.
- Have an interest in how data can improve learning and student outcomes.
- Prior data analysis, business intelligence, or marketing analytics internship or project experience is a plus.
- Familiarity with web analytics tools such as Google Analytics, GA4, Search Console, or Looker Studio is a plus.
- Experience with Tableau, Power BI, Data Studio, SEO tools, or keyword platforms is a plus.
- Experience collaborating in remote or hybrid teams using tools such as Slack, Zoom, or project management boards is a plus.
Responsibilities
- Validate and iterate on analytics models with the team of educators.
- Perform data mining and clean data from web, internal trackers, and marketing platforms.
- Support projects involving AI tools and chatbot development for programs and the website.
- Conduct SEO and keyword research to identify growth opportunities and track performance.
- Analyze website traffic, engagement, and conversions.
- Prepare simple dashboards and summary reports.
- Assist with data analysis for marketing campaigns, content performance, and business operations.
- Test, document, and iterate on data and AI workflows as they are developed.
- Help build modules to identify individual students’ academic needs.
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