Forecasting & BI Engineer - S&OP Analytics

Socket.dev

New York (NY)

On-site

USD 91,000 - 158,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
RSUs
401(k) matching
Paid time off
Parental leave

Job summary

Amazon is seeking a Business Intelligence Engineer to join the Network S&OP team in North America. You will research forecasting techniques, explore data sources, and build models to improve forecast accuracy for the entire fulfillment network.

You will develop data solutions and advanced visualizations to provide forecast insights to senior stakeholders and collaborate with business, product management, and engineering to drive alignment across first, middle, and last mile operations.

Qualifications

  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
  • Experience with data visualization using Tableau, Quicksight, or similar tools.
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared).
  • Experience with scripting language (e.g., Python, Java, or R).

Responsibilities

  • Develop new forecasting models.
  • Build advanced visualization solutions to allow business and tech stakeholders to understand forecasts.
  • Collaborate across multiple teams to align with business goals and objectives.

Skills

Forecasting analysis
Data storytelling
Statistical methods

Education

Master's degree

Tools

Tableau
PowerBI
Quicksight
MicroStrategy

Job description

Amazon is seeking a Business Intelligence Engineer to join the Network S&OP team in North America. You will research forecasting techniques, explore data sources, and build models to improve forecast accuracy for the entire fulfillment network.

You will develop data solutions and advanced visualizations to provide forecast insights to senior stakeholders and collaborate with business, product management, and engineering to drive alignment across first, middle, and last mile operations.

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