Analyze internal and external data (generally with SQL, Excel, Python).
Apply structured framework to estimate hard-to-find information and deliver original insights.
Improve existing estimation and forecast solutions by scrutinizing current assumptions, identifying how our understanding would change if assumptions change, and quantifying these uncertainty (i.e. sensitivity analysis).
Translate complex data analysis into accessible business-focused reports and recommendations.
Serving as in-house consultant for data-driven solutions.
Maintain data pipelines, dashboards and automations
Requirements
Currently enrolled in a 4-year degree program in Computer Engineering, Computer Science, Statistics, or a related technical field.
Strong proficiency in SQL and Python, with a solid understanding of software development practices
