Description

You will own data-driven decision-making by working with large, multi-dimensional datasets to improve operational and quality metrics.

This role is on-site.

Responsibilities

• Deploy Machine Learning and Statistical models to support retail business growth.
• Build and maintain Python utilities for data analysis and processing.
• Enable efficient ad-hoc queries and analysis for business stakeholders and research teams.
• Ensure consistency between platform, operational, and analytic data sources for faster issue resolution.
• Mentor the team on analytics best practices and maintain high standards for data engineering.

Required Skills

• 5+ years of experience in data engineering or business intelligence.
• Proficiency in Python for data analysis and utility development.
• Strong SQL skills for querying large datasets.
• Experience with AWS services, particularly QuickSight.
• Ability to build visualizations using Tableau and Power BI.
• Knowledge of Machine Learning and Statistical Analysis techniques.
• Experience with Data Visualization and multi-dimensional dataset analysis.

Preferred Skills

• Familiarity with Qlik visualization tools.
• Knowledge of deep learning approaches and root cause analysis methodologies.
• Understanding of Amazon retail business processes and operational metrics optimization.

Key Skills

Education

Any Graduate