AWS Data Insights Engineer

Amazon Web Services (AWS)

Arlington (VA)

On-site

USD 100,000 - 160,000

Full time

4 hours ago
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Job summary

Amazon Data Services, Inc. is seeking a data analytics professional to help build and optimize data center analytics for AWS infrastructure. You will gather customer insights, design metrics, and develop automated reporting to guide procurement planning and decision-making.

You will collaborate with business leaders and technical teams, deliver scalable reporting solutions, and advance analytical maturity through predictive analytics and data visualization using Tableau and QuickSight.

Qualifications

  • 3+ years analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
  • 1+ years SQL, ETL or Oracle experience
  • 1+ years processing large multi-dimensional datasets
  • 1+ years performing statistical analysis
  • 1+ years developing automated reporting
  • Bachelor's degree or foreign equivalent in CS/Engineering/Math/Stats/Economics
  • Experience with data visualization tools like Tableau or QuickSight
  • Experience with data modeling, warehousing and ETL pipelines
  • Experience using SQL and Python for data processing

Responsibilities

  • Define, track and report KPIs against goals.
  • Deliver complete reporting solutions and dashboards at scale.
  • Build ETL pipelines pulling data from diverse sources using SQL, Python, AWS tech.
  • Publish QuickSight dashboards and executive review documents.
  • Uncover patterns and connect to business outcomes.
  • Provide ad hoc analyses to fuel improvements.
  • Ensure data quality through audits and automated reporting.
  • Advance analytical maturity with predictive analytics.

Skills

SQL
Python
ETL
Data visualization
Redshift
Statistics

Education

Bachelor's degree in CS/Engineering/Math

Tools

Tableau
Amazon QuickSight

Job description

Amazon Data Services, Inc. is seeking a data analytics professional to help build and optimize data center analytics for AWS infrastructure. You will gather customer insights, design metrics, and develop automated reporting to guide procurement planning and decision-making.

You will collaborate with business leaders and technical teams, deliver scalable reporting solutions, and advance analytical maturity through predictive analytics and data visualization using Tableau and QuickSight.

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