Capacity Planning Analyst

Capacity Planning Analyst

  • Anywhere

Company Name:-
ASSPL – Karnataka

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Bachelor’s degree in Computer Science, Physics, Mathematics, Statistics, Engineering, or similar.

3+ years of experience from a fast-paced environment, preferably in business intelligence, consulting, engineering or related field.

Expertise using SQL and ETL for acquiring and transforming data or keen interest in acquiring an advanced knowledge of SQL.

Proficiency in VBA Macro, Python and R is a plus

Come build the future with us.

What unites all Amazonians across teams and geographies is that we all strive to delight Customers and make their lives easier.

Together we are building the future, one innovative product, service, and idea at a time.

We are looking for a motivated individual to join the India Capacity Planning (Supply Chain Execution) team and build innovative solutions for our vendors & liquidators with the help of data driven critical thinking.

We are looking for a candidate who can drive below:
1.

Using data insights to identify and build automated solutions for manual processes
2.

Support manual processes requiring automation
3.

Suggest and drive process improvements and programs
4.

Pre-empt and build dashboards to measure execution success of programs
5.

Build automated reports with minimal / no person dependencies Responsibilities Include:
The role will be responsible to deliver automation projects/manage stakeholders (other amazon teams/vendors) in Capacity Planning (Supply Chain Execution) Team
Provide data and analytics to the team for measuring performance metrics
An ideal candidate will demonstrate strong deep dive, invent & simplify and end-to-end ownership of project delivery
Person should be strong in modular approach to problem solving and break down complex situations to simple problem statements
Good written and verbal communication skills with the ability to present complex information in a clear and concise manner to a variety of audiences.

Advanced experience of databases in a business environment with large-scale, complex datasets and Visualization through Tableau

Working knowledge of data mining using SQL, ETL, data warehouse as well as Excel

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