Business Intelligence Engineer, India Supply Chain, IN Supply Chain Analytics and Automation

As part of Amazon India supply chain analytics team we are seeking for Business Intelligence Engineer who will have opportunities to work as a thought leader and solve complex business problems along with some of best business leaders. This is role is pivotal in bringing some of the industrys best practices around BI architecture design and drive a roadmap which has large impact on business metrics. We are young team of engineer and analysts building world class solutions harness new ideas look for new technologies and encourage thought process to solve business problems.

At Amazon were working to be the most customer-centric company on earth. To get there we need exceptionally talented bright and driven people. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers. Amazon has great opportunities to pursue a career as a leader in supply chain analytics. We know that learning through experience is what transforms talented people into great leaders. Our roles are designed to accelerate the growth of leaders through challenging field experiences that stretch individual capability. Our Operations environment presents the candidates with great challenges in dealing with front line management and driving scalable and continuous improvements across our Fulfillment Centers Supply Chain & Transportation execution teams.

Key job responsibilities
Primary Responsibilities:

> As a BIE you will use large complex data sets to perform analytics discuss with business stakeholders to understand the problem correlate business problems with deep data analysis develop solution run statistical tests on hypothesis optimize the queries for optimal performance and build tools to automate the process and eliminate manual interventions. Your primary role will be to identify opportunities to improve operation performance influence faster business decisions and reduce cost.
> You will also work as a program manager for your stakeholders owning end-end deliveries of large analytics initiatives. You will develop roadmaps align on project priorities and drive them to completion while working with key stakeholder and mentoring business analysts in your team.
> This role requires one to be comfortable working from general guidelines using best judgment to make sound business decision have a history of teamwork and willingness to roll up ones sleeves to get the job done.
> This role requires strong analytical problem solving and quantitative skills (advance experience in tools like Tableau or similar BI tools SQL Python/R etc.) build ETL data pipelines and an ability to use hard data and metrics to back up assumptions and justify business decisions.
> You will be a subject matter expert of best in class technologies within Amazon you have the ability to map the infrastructure gap between other analytics team and build a roadmap to bridge those gaps. You will understand the intricate details of the supply chain operation process and understand impact at ground level.


Secondary Responsibilities:

You are designer of products and tools required for optimal business performance. You will benchmark with other world wide product development teams and recommend solutions for Fresh.
You will be on continuous look out for opportunities to eliminate manual tasks and identify ways to automate them. You will take inputs from your team members identify opportunities to move to self-service modes upskill stakeholders/peers/ analysts/senior leadership by conducting training sessions and enabling infrastructure to cater to self-service.

A day in the life
As a BIE you will work closely with business stakeholders program managers other analytics teams (like analytics team in EU and NA Amazon core retails analytics team) product managers software developers and data scientists/engineers to identify areas of improvements define metrics to be measured manage programs and drive improvements. This role provides opportunities to influence high impact / high visibility programs within the organization. To perform your daily tasks one requires high attention to details proven ability to manage multiple and competing priorities simultaneously. This is a fast-paced environment where continuous innovation is expected a superior and crisp verbal/written communication is primary skill and ambiguity is a norm. Bias for action customer obsession and ownership are some of key leadership principals this role should strive for.
This role requires superior analytical skill set able to quickly address large ambiguous problems and apply data engineering expertise to rapidly solution and deliver. The whole cycle would involve interaction with many teams supply chain planning S&OP topology last mile middle mile warehouse operations finance business and software teams. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving be able to measure and estimate risks constructively critique peer research extract and manipulate data across various data marts.

- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 2 years of Tableau Desktop Quicksight or other relevant data visualization software experience
- Bachelors degree or above in business administration finance economics computer science data science engineering or other related field or 2 years of Amazon RME (BB/3P) Full Time Exempt 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
- Experience using SQL (Structured Query Language) to pull data from a database or data warehouse
- Experience using Python scripting to process data for modeling

- Masters degree or above in BI finance engineering statistics computer science mathematics or equivalent quantitative field
- Knowledge of Microsoft Excel at an advanced level including: pivot tables macros index/match vlookup VBA data links etc.
- 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
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

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