Data Analyst I

Data Analyst I Description: Support in collecting, cleaning, and exploratory data analysis. Contribute to the development and validation of predictive models under supervision. Use basic AWS services (such as S3, Athena, SageMaker Studio Lab) in data science tasks. Document processes and results of analysis in a clear and organized manner. Learn and apply good practices of versioning, reproducibility, and data governance. Knowledge of Machine Learning processes and tools. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with programming languages (e.g., Python, R, SQL). Understanding of data modeling and database design. Ability to work with large datasets and perform data quality control. Strong analytical and problem-solving skills. Ability to communicate complex technical information to non-technical stakeholders. Bachelor's degree in Data Science, Computer Science, or related field. 2+ years of experience in data analysis or related field. Certification in data science or related field is a plus.