Description

You will perform end-to-end quantitative and qualitative analysis to solve complex business problems.

Responsibilities

• Execute advanced SQL queries to extract, segment, and aggregate data from warehouses.
• Perform data processing using relational, NoSQL, and stream processing systems.
• Conduct deep-dive analysis using Python or R to derive technical insights.
• Communicate complex technical findings clearly to executives and non-technical leadership.
• Manage data modeling tasks and interact with complex business systems.

Required Skills

• 5+ years of experience in quantitative data analysis.
• Advanced SQL proficiency for data segmentation and aggregation.
• Experience with AWS services including Redshift and Athena.
• Proficiency in Python or R for analytical modeling.
• Strong understanding of data modeling and data architecture.
• Experience with relational and NoSQL data processing tools.
• Ability to analyze clickstream data and instrumentation.
• Familiarity with business systems such as Salesforce, Amazon Connect, or EWFM.

Preferred Skills

• Technical undergraduate degree in Engineering, Computer Science, Statistics, Analytics, or equivalent experience.

Key Skills

Education

Any Graduate