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Metro location, popular data-analyst internship title, and broad skill requirements increase applicant competition.
Core data analysis skills (SQL, Python, visualization) are highly transferable across industries.
Requires specific SQL/Python skills and graduation year filter, so moderate screening stringency.
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Apply SQL and Python to query, clean, transform, and validate data from multiple sources to generate actionable insights.
Perform descriptive and diagnostic analysis, create dashboards/reports to communicate findings to stakeholders.
Assist in automating recurring data extraction and reporting tasks and document analytical processes for knowledge sharing.
Pursuing Bachelor's or Master's degree in CS, IT, Data Science, Statistics, Mathematics, Engineering, or related field; expected graduation 2026 or 2027.
Strong SQL skills for querying and data manipulation.
Hands-on experience with Python, especially pandas and NumPy.
Good understanding of descriptive and diagnostic analysis and working with structured or semi-structured datasets.
Comfortable breaking down business or analytical problems into logical steps and documenting processes for clarity.
Interest in automating repetitive data tasks and learning new analytical tools and best practices.
Experience with data visualization tools (Excel, Power BI, Tableau) and exposure to collaborative team environments or mentorship.