Data Analytics Analyst - Python, R & SQL
Back to search results600 18th St N, Birmingham, AL 35203
Job Description:
3 days in-office (Tuesday, Wednesday, and Thursday) and 2 days remote (Monday and Friday).
1-3 Years Proficient in using tools like Python, R, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn, Tableau) to analyze and present data insights effectively. Data Integration and ETL: Skilled in data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis. Statistical Analysis: Proficiency in statistical analysis and hypothesis testing to draw meaningful conclusions from data, as well as the ability to apply machine learning techniques for predictive modeling.