Data Analyst

Collect, clean, and preprocess data from various sources.

Assist in designing and executing data analysis projects.

Conduct exploratory data analysis to identify trends, patterns, and anomalies.

Generate data visualizations and reports to communicate findings effectively.

Collaborate with cross-functional teams to understand data needs.

Contribute to the development of data-driven solutions.

Assist in maintaining data quality and integrity.

Data Pipeline Development: Design, build, and maintain data pipelines to ensure efficient data flow and processing.

Data Modeling: Create and manage data models for structured and unstructured data sources.

ETL Processes: Develop and optimize ETL processes for data extraction, transformation, and loading.

Data Quality Assurance: Implement data quality checks and ensure data accuracy and consistency.

Collaboration: Work closely with data scientists, analysts, and cross-functional teams to understand data requirements.

Performance Optimization: Continuously improve data infrastructure performance and scalability.