Business Intelligence Engineer II, EMXO FBA

Description

Are you a customer obsessed, flexible, smart and analytical, strategic yet execution focused, hungry and passionate about e-commerce, with a strong work ethic If yes, this opportunity will appeal to you. We are looking for a Business Intel Engineer II to drive challenging projects across multiple teams and locations unlocking potential of multiple Stores across the world. The ideal candidate will share Amazon's passion for the customer, always driving trade-off decisions through the prism of Amazon's customers / sellers.

We are looking for a talented, self-driven and experienced Senior Business Intelligence Engineer to lead our advanced analytics wing for FBA Product and Business team. This pivotal role provides you opportunity to work with an exceptionally innovative team of product and program leaders, slice and dice multi-dimensional high depth data mines, build complex data models to provide data driven insights for high impact decisions spanning across Merchant and Customer experience improvement Product / Program initiatives.

To be successful in this role, you will have the ability to roll up your sleeves, innovate, and quickly become a subject matter expert to assess business performance across sellers and market segments. You will be a self-starter who is willing to work hands-on, is comfortable with ambiguity and large data sets. You will also have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. You will have demonstrated proficiency in SQL across variety of databases, BI tools, R or Python to analyze large data sets.

Please note that this job will be based out of BLR37 once that office space is open.

Key job responsibilities

Passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets.

Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications / reports. These solutions will be fault tolerant, self-healing and adaptive.

Detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion.

Excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions

About The Team

The Emerging Marketplaces Experience Organization (EMXO) FBA drives the best FBA seller experience across multiple Emerging marketplaces. We work closely with stakeholders across the US, LATAM, MENA and APAC. We deliver solutions (program and product) that cater to the entire spectrum of FBA life cycle (such as Inbound, Inventory management, capacity management, inventory placement etc.) in partnership with stakeholders.

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

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.

Company - ADCI - Karnataka

Job ID : A3072734

Skills Required

Nosql, Quicksight, Sas, Tableau, Matlab, Redshift, Oracle, Sql, Python, Etl