Data Analytics Engineer II, (SAnDS)

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuously innovating.
Data
Mid-Level Software Engineer
Contact Company
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS · Cloud

Description For Data Analytics Engineer II, (SAnDS)

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. As a Data Analytics Engineer II in the SAnDS team, you will be at the forefront of Cloud technologies, working with Amazon Web Services (AWS).

Key responsibilities include:

  • Conducting Quantitative Data Analysis and acting as a subject matter expert on Operational and business improvement opportunities
  • Designing and executing advanced analytical projects in collaboration with various teams
  • Analyzing large amounts of structured and unstructured data to optimize key processes
  • Identifying opportunity areas for deep dive investigations and future program development
  • Enabling effective decision making by compiling data into actionable formats

You will work closely with diverse stakeholders, including Data Scientists, Business Intelligence teams, Program Managers, and more. The role requires a balance of analytical and technical skills, along with strong communication and collaboration abilities.

Amazon values work-life harmony and fosters an inclusive team culture. The company offers ongoing learning experiences, mentorship, and career growth opportunities.

Required Qualifications:

  • 3+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
  • Experience with data visualization tools like Tableau or Quicksight
  • Experience in data modeling, warehousing, and building ETL pipelines
  • Proficiency in statistical analysis packages such as R, SAS, and Matlab
  • Strong SQL and Python skills for data processing and modeling

Preferred Qualifications:

  • Experience with AWS solutions like EC2, DynamoDB, S3, and Redshift
  • Experience in data mining and working with large-scale, complex datasets in a business environment

Join AWS and be part of a team that's shaping the future of cloud computing while enjoying a startup-like culture within a world-class organization.

Last updated 10 days ago

Responsibilities For Data Analytics Engineer II, (SAnDS)

  • Conduct Quantitative Data Analysis and act as a subject matter expert on Operational and business improvement opportunities
  • Design and execute advanced analytical projects in collaboration with various teams
  • Analyze large amounts of structured and unstructured data to optimize key processes
  • Identify opportunity areas for deep dive investigations and future program development
  • Enable effective decision making by compiling data into actionable formats

Requirements For Data Analytics Engineer II, (SAnDS)

Python
  • 3+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
  • Experience with data visualization tools like Tableau or Quicksight
  • Experience in data modeling, warehousing, and building ETL pipelines
  • Proficiency in statistical analysis packages such as R, SAS, and Matlab
  • Strong SQL and Python skills for data processing and modeling

Benefits For Data Analytics Engineer II, (SAnDS)

  • Career growth opportunities
  • Mentorship
  • Inclusive team culture
  • Work-life harmony

Interested in this job?

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