BIE II, Translation Services Data Analytics (TSDA)

Amazon

5 - 10 years

Hyderabad

Posted: 26/05/2025

Job Description

Description
Are you passionate about building business insights that drive decision making at the highest levels? Do you want to be a part of a fast
- paced, ambiguous environment and contribute to Amazon Translation Services?
In this role you will be responsible for solving complex and ambiguous data and metric problems.
You will use latest AWS provided Data Analytics and GenAI tools (such as Quick
- sight, Amazon Q) to provide business metrics for TS org customers and stakeholders.
You should have a track record of end
- to
- end ownership and successfully delivering results in a fast
- paced and dynamic business environment.
You should be able to work on complex initiatives, deal with ambiguity.
You will be required to work with senior leaders, data engineers, data scientist, SDEs, operations, program managers and other data teams
Key job responsibilities
As a business intelligence engineer, you will/may:
* Be highly data driven, resourceful, customer
- obsessed and team oriented
* Use latest AWS provided data analytics and tools such as Quicksight, Amazon Q, Redshift, Glue etc
* Design, develop, and implement scalable, automated processes for data extraction, processing, and evaluation
* Define data driven approaches and metrics strategy to uncover new insights
* Have a passion for sourcing, manipulating, and visualizing data to tell business stories
* Be able to clearly communicate strategic findings and recommendations
* Translate complex, technical concepts into business terms and vice versa
* Work with engineering and data teams to support the development of tools and dashboards

Basic Qualifications
- 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 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.

About Company

Amazon is a multinational technology and e-commerce company founded by Jeff Bezos in 1994. Initially focused on selling books online, it quickly expanded into a broad range of products and services, including electronics, cloud computing (via Amazon Web Services), streaming, and artificial intelligence. Amazon has revolutionized online shopping with fast delivery, personalized recommendations, and a subscription service called Amazon Prime. It is one of the world's largest and most valuable companies, with a significant impact on retail, technology, and logistics.

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