Business Intelligence Analyst

4 weeks ago


Arlington, Virginia, United States Amazon Full time

Business Intelligence Engineer Role Overview

The World Wide OPS Finance S&A team at Amazon is seeking a highly skilled Business Intelligence Engineer to drive key business decisions through data-driven insights.

This role requires a customer-focused, analytically and technically skilled individual with excellent analytical abilities and outstanding business acumen.

The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoying working with large data sets.

Key Responsibilities:

  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc.
  • Ensure data accuracy by validating data for new and existing tools.
  • Combine knowledge of statistical methodology and analysis with programming skills to support complex analyses.
  • Collaborate on the design, development, maintenance, and delivery/presentation of forecasting models, metrics, reports, analyses, tools, and dashboards.
  • Respond to a variety of on-demand ad-hoc analytical requests as needed.
  • Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.

Basic Qualifications:

  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field.
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets.
  • Experience in the data/BI space.
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
  • Knowledge of SQL and data warehousing concepts.
  • Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred).

Preferred Qualifications:

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.


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