Company Name:-
Amazon Dev Center India – Hyd

Job Location:-
Hyderabad, Telangana

Job Summary:-
Bachelor’s degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline.

3+ years’ experience as a Data / Business Analyst.

Experience with data warehousing and business intelligence tools, techniques and technology.

Proficiency with data querying or modeling technique with SQL.

Confidence in communicating(oral and written) with technical and non-technical senior level staff.

Ability to operate successfully and independently in a fast-paced environment.

Be comfortable with ambiguity and curious to learn new skills.

The AWS Infrastructure Planning group is responsible for planning and coordinating a complex, multi-tier supply chain that delivers capacity for all AWS services.

This includes data center setup, equipment purchase, installation and operation of servers with power and cooling, inventory management and other such decisions.

We’re building a new suite of tools to automate all AWS supply chain planning, with a broad charter that involves inventory optimization, placement, vendor allocation, transition management, lead time predictions, and more.

We are responsible for ensuring that the AWS cloud remains elastic for its customers by taking care of all of the back-end complexity, enabling our infrastructure to stay ahead of our rapid growth.

We are looking for a highly motivated, analytical and detail-oriented candidate to help build scalable prescriptive business analytics solutions that supports our Supply Chain Operating System (known as SC.

os) Planning organization.

You will be part of the SC.

os Data Science team working primarily with SDEs, Product Managers, Applied and Data Scientists, Directors, Sr.

Managers to achieve our goals.

In this role, you will:Understand the broad range of AWS Infra Planning processes and SC.

os data resources.

Manipulate/mine data from database tables using SQL, and from log files by writing scripts (e.

g.

R, Python).

Interface with SDEs, Data Engineers, Product Managers and other stakeholders to gather requirements by asking right questions, analyzing data, and drawing conclusion by making and validating appropriate assumptions.

Conduct deep dive analyses of business problems and formulate conclusions and recommendations; determine optimized c

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