Carrier Logistics team provides offerings for 3P carrier partners who work with Amazon to manage transportation lifecycle activities on a daily basis.
The ideal candidate relishes working with large volumes of data enjoys the challenge of highly complex business contexts and above all else is passionate about data and analytics. The candidate is an expert with business intelligence tools and passionately partners with the business to identify strategic opportunities where databacked insights drive value creation. An effective communicator the candidate crisply translates analysis result into executivefacing business terms. The candidate works aptly with internal and external teams to push the projects across the finishing line. The candidate is a selfstarter comfortable with ambiguity able to think big (while paying careful attention to detail) and enjoys working in a fastpaced and global team.
Key job responsibilities
Work closely with the BIEs DEs and SDEs in the team and collaborate effectively with product managers to create scalable solutions for business problems.
Create program goals and related metrics track progress and manage through obstacles to help team achieve objectives
Identify opportunities for improvement or automation in existing data processes and lead the changes using your business acumen and data handling skills.
Use the best practice on data integrity design test implementation documentation and knowledge sharing.
Contribute to transportation operations strategy development based on data analysis
Lead strategic projects to formalize and scale organizational processes
Build and manage weekly monthly and quarterly business review metrics.
Build data reports and dashboards: Leverage your data skills and technical means (SQL Excel etc. to improve on business efficiency across programs.
About the team
Carrier Logistics team provides offerings for 3P carrier partners who work with Amazon to manage transportation lifecycle activities on a daily basis.
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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets
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