AS

Applying for positions within Office of Student Organizations

Position(s)

Data Analyst

Responsibilities:

Gather, clean, and analyze large datasets from event attendance records, financial reports, and other relevant sources.
Build predictive models to forecast event attendance and optimize resource allocation.
Develop interactive dashboards and visualizations to track event performance, attendance, and funding metrics
Utilize statistical analysis and machine learning techniques to uncover trends and identify discrepancies
Provide actionable recommendations through data storytelling to influence decision-making for event optimization.
Automate data collection and reporting processes for continuous monitoring of event outcomes.

Key Skills & Benefits:

Hands-on experience with data analysis tools such as Python, R, SQL, or similar platforms.
Develop proficiency in building interactive visualizations using tools like Tableau, Power BI, or Google Data Studio.
Opportunity to apply machine learning techniques in predictive modeling and trend analysis.
Strengthen your portfolio with real-world experience in data science, analytics, and business intelligence.
Work closely with leadership, event organizers, and financial teams to drive impact through data-driven insights.
Flexible hours and the opportunity to influence high-level organizational decision-making.

Preferred Qualifications:

Strong knowledge of data analysis, statistical modeling, and machine learning.
Proficiency in programming languages such as Python or R for data analysis.
Familiarity with data visualization tools and techniques.
Strong communication skills to present complex data findings in an accessible, actionable format.

Details:
Stipend: $50/week
Duration: 30 weeks

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