Description

Key Responsibilities

• Design and implement data pipelines using advanced SQL for data segmentation and aggregation from data warehouses
• Build and maintain data processing systems utilizing relational databases, NoSQL solutions, and stream processing technologies
• Develop data models and schema designs that support efficient data storage and retrieval
• Perform quantitative data analysis using Python, R, and other analytical tools to derive actionable insights
• Collaborate with cross-functional teams to understand data requirements and deliver technical solutions

Qualifications

• 5+ years of experience in quantitative data analysis with a technical undergraduate degree or equivalent experience
• Advanced proficiency in SQL for complex data operations and warehouse management
• Strong experience with AWS services including Redshift, Athena, and core AWS concepts
• Proficiency in Python, R, or PyCharm for data modeling and analytical work
• Experience with data architecture, instrumentation, and clickstream data analysis
• Excellent communication skills with ability to present complex technical concepts to diverse audiences
• Self-starter with strong critical thinking, organization, and time management abilities

Key Skills

Education

Bachelor's degree