Description

Key Skills: Python, SQL, AWS, Tableau, Machine Learning, Data Visualization, Statistical Analysis, QuickSight, Power BI, Data Engineering

Good to Have Skills: Experience with Qlik visualization tools, deep learning approaches, multi-dimensional dataset analysis, and knowledge of Amazon retail business processes. Familiarity with operational metrics optimization and root cause analysis methodologies.

Roles & Responsibilities:

• Work with large, multi-dimensional datasets from multiple sources to drive data-driven decision making.
• Make recommendations for new metrics, techniques, and strategies to improve operational and quality metrics.
• Deploy Machine Learning and Statistical models to support retail business growth initiatives.
• Build new Python utilities and maintain existing ones for data analysis and processing.
• Enable more efficient adhoc queries and analysis for business stakeholders and research teams.
• Work closely with research scientists, business analysts and product leads to scale data solutions.
• Ensure consistency between various platform, operational, and analytic data sources for faster issue resolution.
• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies.
• Mentor the team on analytics best practices and maintain high standards for data engineering

Key Skills

Education

Any Graduate