The role involves collecting, processing, and performing statistical analyses on large datasets to provide actionable insights
Job Summary
The role involves collecting, processing, and performing statistical analyses on large datasets to provide actionable insights.
Candidates will develop robust data pipelines using Python, SQL, and Spark to ensure efficient data ingestion and processing.
The position requires creating compelling reports and dashboards to communicate complex analytical findings to technical and non-technical stakeholders.
Matching Summary
The role involves collecting, processing, and performing statistical analyses on large datasets to provide actionable insights.
Skills & Requirements
Must-have
Python programming for data analysis
Apache Spark for big data processing
SQL for data extraction and manipulation
Statistical analysis and machine learning techniques
Data visualization with Tableau or Power BI
Nice-to-have
Cloud platform experience AWS Azure GCP
Machine learning algorithm application knowledge
Data warehousing concepts familiarity
Git version control system usage
Cross-functional collaboration skills
Key Requirements
Bachelor's or Master's degree in quantitative field