Amazon Data Analytics Engineer SAnDS WFM 

India, Karnataka, Bengaluru 

855826902

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.We are seeking an experienced Data Analytics Engineer to drive deep insights and continuous improvement using large troves of data. The Candidate should have detailed understanding of a business requirements or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the root problems, identify opportunities and communicate the findings to internal stakeholders. An ideal candidate is one who enjoys discovering and solving complicated problems, can quickly learn complex systems, likes to work with numbers, and takes pride in organizing and communicating their work. We are looking for a creative thinker with deep analytics experience who knows how to execute and deliver from concept. Ability and enthusiasm to be a change agent on a team operating in a highly ambiguous environment is required.Key job responsibilities
-Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes
-Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
-Write concise documents communicating results to stakeholders and visualize data to drive decision makingA day in the life
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Bangalore, KA, IND

- 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