Amazon Transportation Services (ATS) is seeking a highly skilled and motivated team player to be part of a dynamic analytics team.
As Amazon Transportation Services (ATS), we strive to be the earth’s best logistics service provider. We make product journeys in the supply chain smooth to ensure the best customer experience.
As a Business Analyst in ATS, you solve exciting logistics problems with the potential to save millions of dollars!
To do this,
1. You uncover trends to go beyond the obvious and identify the “whys”
2. You are comfortable dealing with ambiguity, asking questions, and taking up challenges
3. You deal with multiple teams and understand newer areas of business with ease
4. You are comfortable owning multiple projects and driving them to closure
5. You are technically sound in finding and wrangling data needed to bring out insights
6. You are comfortable presenting and reporting effectively to Leaders of Amazon!
Proficient in SQL and conversant with AWS infrastructure.
Key Job Responsibilities
1. Understand the various operations across ROC
2. Design and develop highly available dashboards and metrics using SQL and Excel/Quicksight
3. Understand the requirements of stakeholders and map them with the data sources/data warehouse
4. Own the delivery and backup of periodic metrics and dashboards to the leadership team
5. Draw inferences and conclusions, create dashboards and visualizations of processed data, and identify trends and anomalies
6. Execute high priority (i.e., cross-functional, high impact) projects to improve operations performance
7. Perform business analysis and data queries using appropriate tools
8. Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area
BASIC QUALIFICATIONS
1. Bachelor's degree or equivalent
2. Experience defining requirements and using data and metrics to draw business insights
3. Experience with SQL or ETL
PREFERRED QUALIFICATIONS
1. Experience creating complex SQL queries joining multiple datasets, ETL DW concepts
2. Experience using very large datasets
3. Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
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