Description

You will perform end-to-end quantitative and qualitative analysis to solve complex business problems, owning the data lifecycle from extraction to executive presentation.

This role is on-site.

Responsibilities

• Extract data from warehouses using advanced SQL for segmentation and aggregation.
• Design data models and schemas to support analytical requirements.
• Process data using relational, NoSQL, and stream processing systems.
• Present complex technical findings to executives and non-technical leaders.
• Manage end-to-end analysis tasks with high attention to detail and prioritization.

Required Skills

• 5+ years of experience in quantitative data analysis.
• Advanced SQL skills for data extraction and manipulation.
• Proficiency in Python, R, or PyCharm.
• Experience with AWS services including Redshift and Athena.
• Knowledge of data modeling and schema design.
• Familiarity with relational and NoSQL data systems.
• Technical undergraduate degree in Engineering, Computer Science, Statistics, or Analytics.

Preferred Skills

• Experience with clickstream data and data architecture.
• Familiarity with business systems like Salesforce, Amazon Connect, or EWFM.

Key Skills

Education

Any Graduate