Data Analyst

You will perform advanced data analysis and technical troubleshooting to support business decision-making.

Responsibilities

• Write complex SQL queries across Hive, Snowflake, and Presto.
• Troubleshoot and resolve data issues using Spark and PySpark.
• Apply supervised and unsupervised data mining techniques.
• Develop BI visualizations in PowerBI and conduct deep-dive analysis in Excel.

Required Skills

• 5-7 years of professional data analysis experience.
• 5+ years proficiency in SQL and Python.
• Extensive experience with Snowflake, Hive, and Presto.
• Hands-on experience with Spark and PySpark for data processing.
• Advanced Excel skills, including complex functions.
• Proficiency in PowerBI for data visualization.
• Experience with supervised and unsupervised machine learning techniques.
• Bachelor's degree or higher in a quantitative field.