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Employer brand and metro location increase competition, while the niche intern analytics role moderately limits applicant pool.
Technical analytics skills are transferable, but capacity-planning domain knowledge adds moderate industry specificity.
Requires specific SQL/Python, forecasting skills and a quantitative degree, creating moderate screening rigidity.
Support capacity planning and forecasting by analyzing historical operational and business data.
Develop and maintain reports, dashboards, and analytical models to aid staffing and workload decisions.
Utilize SQL for data extraction and Python or R for automating reporting and performing exploratory data analysis.
Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics or related quantitative field.
Demonstrated coursework or projects in data analysis, statistics, forecasting, or business analytics.
Foundational understanding of data analysis concepts and ability to interpret quantitative results.
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable working with large datasets and able to perform data quality checks and process improvements.
Able to communicate findings clearly to both technical and non-technical stakeholders.
Familiar with SQL and Python or R for data extraction, analysis, and reporting automation.