Duration: Summer 2025, with potential to extend into the fall
Time Commitment: Average 15–20 hours per week; some weeks may vary based on project intensity
Compensation: $30/hour (negotiable based on experience)
Fierce has two twin goals:
Improve student outcomes by building education-employer partnerships that close talent supply-demand gaps
Transform the perceived value of education through better graduate outcomes, driving increased enrollment and improved financial sustainability for institutions
We work across the education spectrum—early childhood, K-12, and higher education—partnering with schools, colleges, employers, and public agencies.
This internship is designed for an analytics-forward candidate looking to lead key pieces of data work across client engagements. The ideal intern will be proactive, detail-oriented, and capable of handling a mix of data engineering and insight generation tasks.
Responsibilities include:
Leading the development of analytics workstreams for client projects
Creating dynamic visual dashboards and presenting findings
Cleaning, joining, and structuring datasets from multiple sources
Contributing to machine learning or predictive modeling as needed
Supporting light web scraping or data pipeline setup
Ideal Candidate Will Have:
Strong skills in Python, R, or another analytical language
Experience with Tableau, Looker, Power BI, or similar tools
Comfort working in unstructured environments and building from scratch
Knowledge of machine learning or statistics is a plus
Strong interest in social impact and education sectors
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