Amazon Technical Account Manager 

Thailand, Bangkok, Bangkok 

757573833

The successful candidate will define problems and build analytical frameworks to streamline operations, leveraging data analysis to identify process gaps and opportunities for improvement. You'll collaborate closely with cross-functional teams to implement solutions and drive meaningful change. Key responsibilities include conducting in-depth data analysis, creating and maintaining dashboards, and regularly sharing insights with internal stakeholders to support data-driven decision-making.Success in this position requires adaptability, quick learning, and a passion for using data to solve complex business problems. You'll have the opportunity to work with large-scale datasets and advanced technologies while contributing to the continuous improvement of our transportation network.Key job responsibilities
- Apply multi-domain expertise to daily activities and own the end-to-end project roadmap.- Translate complex or ambiguous business problems into clear analysis requirements, maintaining high standards throughout execution.- Develop efficient queries using advanced SQL techniques (e.g., window functions, virtual tables) to work with various data sources, minimizing post-processing needs.- Ensure data fidelity by cross-referencing multiple sources when necessary.- Provide regular updates to stakeholders, including progress reports and identification of potential roadblocks with proposed solutions.A day in the life
- Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes
- Have the capability to handle large data sets in analysis through the use of additional tools- Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing
- Identify and implement optimal communication mechanisms based on the data set and the stakeholders involvedWe enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities.

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- 4+ years of ecommerce, transportation, finance or related analytical field experience