Key Responsibilities:

Designing and implementing data pipelines
Ensuring data quality and compliance with security policies
Data analysis and modeling
Data collection and preprocessing: Perform appropriate data collection and preprocessing tasks to prepare data necessary for analysis.
Data analysis and modeling: Analyze data, verify hypotheses, and develop prediction models using data analysis tools and techniques.
Insight extraction and report writing: Extract insights based on analysis results and write reports to communicate them to decision-makers or stakeholders in a visual format.
Communication skills to communicate with researchers and data developers
Data visualization: Visualize analysis results to provide them in a form that can be used for business strategy formulation.
Keeping up with technological advancements and industry trends: Keep up with the latest data analysis techniques and industry trends to enhance the company’s data analysis capabilities.

Key Skills:

Understanding and experience in data analysis and modeling
Understanding and experience in security and data quality management of large-scale data systems
Understanding and experience in programming languages such as Python, and R
Expertise in data analysis tools and techniques: Professional knowledge and practical experience in data analysis tools and techniques
Mathematical knowledge: Requires an understanding of mathematical modeling and statistical techniques.
Problem-solving skills: Must be able to solve complex problems.
Communication skills: Requires the ability to communicate analysis results to non-experts.

Experience with CI/CD pipelines for automating and managing the data engineering process
Experience with cloud platforms such as AWS, GCP, and Azure
Experience with NoSQL databases
Experience with Linux operating systems and shell scripting
Understanding of various database and data warehousing technologies
NLP project experience
Experience with large-scale data processing and storage frameworks such as Spark, Hadoop, Hive, and Presto
2+ years of experience in designing and implementing large-scale data processing and storage systems
2+ years of experience in designing and implementing data pipelines