*** The role is for 1 year term in Amazon
Job Description
Are you interested in applying your strong quantitative analysis and big data skills to world-changing problems Are you interested in driving the development of methods models and systems for strategy planning transportation and fulfillment network If so then this is the job for you.
Our team is responsible for creating core analytics tech capabilities platforms development and data engineering. We develop scalable analytics applications across APAC MENA and LATAM. We standardize and optimize data sources and visualization efforts across geographies builds up and maintains the online BI services and data mart. You will work with professional software development managers data engineers business intelligence engineers and product managers using rigorous quantitative approaches to ensure high quality data tech products for our customers around the world including India Australia Brazil Mexico Singapore and Middle East.
Amazon is growing rapidly and because we are driven by faster delivery to customers a more efficient supply chain network and lower cost of operations our main focus is in the development of strategic models and automation tools fed by our massive amounts of available data. You will be responsible for building these models/tools that improve the economics of Amazons worldwide fulfillment networks in emerging countries as Amazon increases the speed and decreases the cost to deliver products to customers. You will identify and evaluate opportunities to reduce variable costs by improving fulfillment center processes transportation operations and scheduling and the execution to operational plans.
Major responsibilities include:
Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available.
Writing SQL queries and automation scripts
Ensure data quality throughout all stages of acquisition and processing including such areas as data sourcing/collection ground truth generation normalization transformation cross-lingual alignment/mapping etc.
Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.
Collaborate with colleagues from multidisciplinary science engineering and business backgrounds.
Develop efficient data querying and modeling infrastructure.
Manage your own process. Prioritize and execute on high impact projects triage external requests and ensure to deliver projects in time.
Utilizing code (SQL Python R Scala etc.) for analyzing data and building data marts
- 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
- 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
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