Data Analyst

Company Description

A pioneering social science project conducted at Tel Aviv University that uses survey data and advanced methods to analyze labor market trends and inequality.

Role Description

Large-scale data analysis, data modeling, data quality, statistics, and visualization. 

This is a part-time (2-3 days a week) and remote work position. The Data Analyst will be responsible for analyzing and interpreting large datasets. Day-to-day tasks include creating data models and performing statistical and machine learning analyses. The Data Analyst will also work closely with team members.

Qualifications

• Strong Analytical Skills and experience in Data Analytics
• Master's or Ph.D. Degree in a quantitative field, data science, economics, or a related field (students pursuing these degrees with experience in quantitative research are welcome)
• Familiarity with social science quantitative methods and modeling

·      Experience with database construction, prep, analysis, and statistical modelling.

• Proficiency in Statistics and Data Modeling
• Extensive experience with statistical/mathematical software for analyzing datasets (e.g., Stata, R), as well as proficiency in Python.
• Knowledge and experience with Machine learning models (e.g., penalized regression, classification and regression trees, factor analysis)
• Strong spoken and written English
• At least two years of experience in data analysis