Amazon Senior Business Intel Engineer AGL CN BI/BA Team 

Thailand, Bangkok, Bangkok 

429577167

Key job responsibilities
As a Business Intelligence Engineer with our team, you will help identify opportunities and implement solutions to improve the efficiency of supply chain network for the ultra-fast delivery programs. You will be responsible for modeling complex/abstract problems and discovering insights through the use of statistical and visualization techniques. Further, you will develop metrics and dashboards to communicate these insights to the Ops/Sales/Product teams.
The complexity of research and skills for this role is well beyond basic data entry and research. It involves complex analysis and diving deep into key metrics based on requests, building and maintaining multiple databases, knowledge of software applications to create tools, and understanding of multiple programming languages.
The following provides some detail of the job duties and responsibilities.Manipulate/mine data from database tables (ex. Redshift, MySQL) using SQL.
Manipulate/mine data from log files by writing scripts (ex. PERL, Python, UNIX)
Develop analytical tools: deep-dive tools, UIs, metrics, and dashboards (Tableau/Quicksight)Effectively communicate (English written and verbal) solutions and methodologies to senior leadership

- Bachelor’s degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline.
- 8+ years of experience in using quantitative analysis.
- Experience with all of the following preferred: Ruby, Perl, Oracle, Redshift, SQL, Python

- Master's degree in statistics, data science, or an equivalent quantitative field
- Graduate degree in Engineering, Logistics, or another quantitative field preferred.
- Experience with BI analytics/ reporting/visualization tools (preferably Tableau) Familiarity with supply chain management concepts - forecasting, planning, optimization, and logistics - gained through work experience or graduate level education.
- Excellent written and verbal communication skills. The role requires effective communication with senior management as well as with colleagues from operations and business background.