Responsibilities:Generate daily operational related data reports, analyze quantitative data, and investigate variances
Report variances to the Business Development team and recommend operational procedures improvement
Troubleshoot data sources and databases
Communicate with product team and business team to understand business process or changes
Perform deep dive analysis on generated results
Develop and implement data visualization/dashboard, data analytics and other strategies in attaining service level agreements using spreadsheets or any available data analysis/dashboard tools
Identify, analyze, and interpret trends or patterns in the collected data sets.
Participate and support ad hoc projects requiring additional analysis and data-heavy reporting
Propose improvements to operational processes
Requirements:Graduate of BS/BA Computer Science, Information Technology, Statistics, Mathematics, and other related courses
At least 2 years experience in data analytics
At least 2 years experience in python and SQL
Experience in handling Warehouse operation data is an advantage
Self-starter with the ability to work in a fast-paced, performance-driven environment
High analytical ability - critical and logical thinking and optimization
Passion for problem-solving, improving and/or implementing processes
Highly motivated, structured and methodical with a high degree of initiative.
Strong problem solving, quantitative and analytical abilities.
Able to work independently or cross functionally.
Responsibilities:- Generate daily operational related data reports, analyze quantitative data, and investigate variances
- Report variances to the Business Development team and recommend operational procedures improvement
- Troubleshoot dat