Description

You will own the end-to-end data lifecycle from ingestion to insight delivery, ensuring high integrity and actionable business value.

This role is on-site.

Responsibilities

• Craft and implement dimensional models for structured and semi-structured datasets.
• Develop and optimize data processing workflows using PySpark for large-scale transformations.
• Write and tune advanced SQL queries within AWS Athena to extract insights from data lakes.
• Investigate data anomalies and resolve stakeholder requests while maintaining data accuracy.
• Document data models, query logic, and ETL processes to facilitate team scalability.

Required Skills

• 7+ years of experience with reporting packages, databases, and ETL frameworks.
• 3+ years of dedicated experience in data analysis and database management.
• Proficiency in SQL and SAS or comparable database management systems.
• Hands-on experience using AWS Athena for data manipulation and query optimization.
• Advanced Excel skills, including complex pivot tables and macro development.
• Working knowledge of data modeling principles for database design and development.
• Functional understanding of statistical concepts, including linear regression and probability theory.
• Strong written and verbal communication skills in English.

Preferred Skills

• Bachelor's degree in a quantitative field such as Applied Mathematics, Statistics, Computer Science, or MIS.
• Equivalent work experience demonstrating the same level of technical proficiency and analytical rigor.

Key Skills

Education

Any Graduate