As EU 3P AB, we need to build or rebuild the whole data structure serving our team and streamline reporting, strengthening our whole data architecture. Bandwidth to be allocated on scaling up initiatives rather avoiding ad-hoc requests to facilitate our transition to AI powered tools leveraging clean and standard datasets.


Key job responsibilities
Key Priorities:

a. Data Infrastructure Development: Design, build, and maintain structured, standardized, and well-documented data marts that serve multiple business programs. Ensure data architecture follows best practices and is optimized for integration with AI/ML systems and analytical tools. Contribute to establishing and maintaining data architecture standards in collaboration with the Business Intelligence team.
b. Dashboard & Analytics Migration: contribute to the transition of key business reporting to modern analytics platforms, including both backend data mart development and frontend dashboard creation and maintenance.
c. Data Foundation for Advanced Analytics: Build scalable data components and pipelines to support Data Science and Software Development teams on upcoming analytical projects.
d. Operational Data Solutions: Develop self-service datasets and automated reporting solutions that improve team productivity across various business functions (e.g., recruitment, program management), reducing manual data requests and enabling teams to access standardized metrics independently.

A day in the life
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment.
Inclusive Team Culture
Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build a really cool service, but we also think a big reason for that is inclusive and welcoming culture we try to cultivate every day.
Mentorship & Career Growth
We care about your career growth. Whether your goals are to explore new design concepts, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.

Basic Qualifications

- 5+ 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 in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

- 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 large-scale, complex datasets

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.